# GenAIList — Markdown index > Every GenAIList resource page, in the Markdown form built for AI agents. Append `.md` to any > URL below, or request it with `Accept: text/markdown`. Each page names the HTML page it stands > in for; cite that one. Generated: 2026-08-06 Site: https://genailist.net Overview: https://genailist.net/llms.txt ## Models (3633) - [$\infty$-former (SM)](https://genailist.net/model/universidade-de-lisboa-ulisboa/infty-former-sm.md) - [(ensemble): AWD-LSTM-DOC (fin) × 5 (PTB)](https://genailist.net/model/ntt-communication-science-laboratories/ensemble-awd-lstm-doc-fin-5-ptb.md) - [(ensemble): AWD-LSTM-DOC (fin) × 5 (WT2)](https://genailist.net/model/ntt-communication-science-laboratories/ensemble-awd-lstm-doc-fin-5-wt2.md) - [10 LSTMS + KN-5 (OPTIMAL WEIGHTS)](https://genailist.net/model/google-brain/10-lstms-kn-5-optimal-weights.md) - [1X World Model](https://genailist.net/model/1x/1x-world-model.md) - [2-layer skip-LSTM + dropout tuning (PTB)](https://genailist.net/model/deepmind/2-layer-skip-lstm-dropout-tuning-ptb.md) - [2-layer-LSTM+Deep-Gradient-Compression](https://genailist.net/model/tsinghua-university/2-layer-lstm-deep-gradient-compression.md) - [3-Layer-Tensor-Transformer+AdaHessian](https://genailist.net/model/university-of-california-uc-berkeley/3-layer-tensor-transformer-adahessian.md) - [3-ensemble of Self-ensembles on CIFAR-100](https://genailist.net/model/google-deepmind/3-ensemble-of-self-ensembles-on-cifar-100.md) - [30B-Lazarus](https://genailist.net/model/caldera-ai/30b-lazarus.md) - [360 Smart Brain](https://genailist.net/model/360-security-technology/360-smart-brain.md) - [360Zhinao-7B](https://genailist.net/model/360-security-technology/360zhinao-7b.md) - [360Zhinao2-7B](https://genailist.net/model/360-security-technology/360zhinao2-7b.md) - [360Zhinao3-7B-O1.5](https://genailist.net/model/360-security-technology/360zhinao3-7b-o1-5.md) - [360gpt2-pro](https://genailist.net/model/360-security-technology/360gpt2-pro.md) - [360zhinao2-o1](https://genailist.net/model/360-security-technology/360zhinao2-o1.md) - [3D city reconstruction](https://genailist.net/model/university-of-washington/3d-city-reconstruction.md) - [3DDFA](https://genailist.net/model/chinese-academy-of-sciences/3ddfa.md) - [3DGUT](https://genailist.net/model/nvidia/3dgut.md) - [3DMM-CNN](https://genailist.net/model/university-of-southern-california/3dmm-cnn.md) - [4 layer Densely Connected LSTM 14M (PTB)](https://genailist.net/model/ghent-university/4-layer-densely-connected-lstm-14m-ptb.md) - [4 layer QRNN (h=2500)](https://genailist.net/model/salesforce-research/4-layer-qrnn-h-2500.md) - [4 layer QRNN + dynamic evaluation](https://genailist.net/model/university-of-texas-at-austin/4-layer-qrnn-dynamic-evaluation.md) - [4D Diffusion for Dynamic Protein Structure Prediction with Reference Guided Motion Alignment](https://genailist.net/model/fudan-university/4d-diffusion-for-dynamic-protein-structure-prediction-with-reference-guided-motion-alignment.md) - [4o Image Generation](https://genailist.net/model/openai/4o-image-generation.md) - [6-Act Tether](https://genailist.net/model/facebook-ai-research/6-act-tether.md) - [6-Layer-Tensor-Transformer+AdaHessian](https://genailist.net/model/nersc/6-layer-tensor-transformer-adahessian.md) - [6-layer MLP (MNIST)](https://genailist.net/model/idsia/6-layer-mlp-mnist.md) - [A.X (Adot) 18B](https://genailist.net/model/sk-telecom/a-x-adot-18b.md) - [A.X (Adot) 39B](https://genailist.net/model/sk-telecom/a-x-adot-39b.md) - [A.X (Adot) 7B](https://genailist.net/model/sk-telecom/a-x-adot-7b.md) - [A3C FF hs](https://genailist.net/model/google/a3c-ff-hs.md) - [ABAB](https://genailist.net/model/minimax/abab.md) - [ACF-WIDER](https://genailist.net/model/chinese-academy-of-sciences/acf-wider.md) - [ADALINE](https://genailist.net/model/stanford-university/adaline.md) - [ADAM (CIFAR-10)](https://genailist.net/model/university-of-amsterdam/adam-cifar-10.md) - [ADAPTIVE NLPM](https://genailist.net/model/university-of-toronto/adaptive-nlpm.md) - [ADM](https://genailist.net/model/openai/adm.md) - [ADP-FAIRSEQ + NGRAMRES](https://genailist.net/model/nara-institute-of-science-and-technology/adp-fairseq-ngramres.md) - [AF2RAVE](https://genailist.net/model/university-of-maryland/af2rave.md) - [AFM-on-device](https://genailist.net/model/apple/afm-on-device.md) - [AFM-server](https://genailist.net/model/apple/afm-server.md) - [AFP+FPI (PTB)](https://genailist.net/model/university-of-sheffield/afp-fpi-ptb.md) - [AFP+FPI (WT2)](https://genailist.net/model/university-of-sheffield/afp-fpi-wt2.md) - [AFP-Deep](https://genailist.net/model/nanjing-university/afp-deep.md) - [AF_unmasked](https://genailist.net/model/link-ping-university/af-unmasked.md) - [AI Q&A Robot](https://genailist.net/model/unknown/ai-q-a-robot.md) - [AI Resume](https://genailist.net/model/unknown/ai-resume.md) - [AInno-75B 2.0](https://genailist.net/model/unknown/ainno-75b-2-0.md) - [ALBERT](https://genailist.net/model/toyota-technological-institute-at-chicago/albert.md) - [ALBERT-xxlarge](https://genailist.net/model/toyota-technological-institute-at-chicago/albert-xxlarge.md) - [ALICE](https://genailist.net/model/nanhu-brain-computer-interface-institute/alice.md) - [ALIGN](https://genailist.net/model/google-research/align.md) - [ALLaM 34B](https://genailist.net/model/saudi-data-and-artificial-intelligence-authority/allam-34b.md) - [ALLaM 7B](https://genailist.net/model/saudi-data-and-artificial-intelligence-authority/allam-7b.md) - [ALLaM adapted13B](https://genailist.net/model/saudi-data-and-artificial-intelligence-authority/allam-adapted13b.md) - [ALLaM adapted 70B](https://genailist.net/model/saudi-data-and-artificial-intelligence-authority/allam-adapted-70b.md) - [ALM 1.0](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/alm-1-0.md) - [ALOHA Unleashed](https://genailist.net/model/google-deepmind/aloha-unleashed.md) - [ALVINN](https://genailist.net/model/carnegie-mellon-university-cmu/alvinn.md) - [ALiBi (L=3072, Lvalid = 3072)](https://genailist.net/model/university-of-washington/alibi-l-3072-lvalid-3072.md) - [AMIE (Articulate Medical Intelligence Explorer)](https://genailist.net/model/google-deepmind/amie-articulate-medical-intelligence-explorer.md) - [AMPLIFY](https://genailist.net/model/chandar-research-lab/amplify.md) - [ANITA-NEXT 20B](https://genailist.net/model/university-of-bari/anita-next-20b-gpt-oss.md) - [ANITA-NEXT 24B Vision](https://genailist.net/model/university-of-bari/anita-next-24b-vision.md) - [ANN Eye Tracker](https://genailist.net/model/unknown/ann-eye-tracker.md) - [APUS-xDAN-4.0(MoE)](https://genailist.net/model/qilin-hesheng-network-technology-co/apus-xdan-4-0-moe.md) - [AR-LDM](https://genailist.net/model/alibaba/ar-ldm.md) - [AREX Base](https://genailist.net/model/baai/arex-base.md) - [ASE](https://genailist.net/model/nvidia/ase.md) - [ASE+ACE](https://genailist.net/model/university-of-massachusetts-amherst/ase-ace.md) - [AWD-FWM (PTB)](https://genailist.net/model/idsia/awd-fwm-ptb.md) - [AWD-FWM (WT2)](https://genailist.net/model/idsia/awd-fwm-wt2.md) - [AWD-LSTM](https://genailist.net/model/deepmind/awd-lstm.md) - [AWD-LSTM + DeFINE](https://genailist.net/model/university-of-washington/awd-lstm-define.md) - [AWD-LSTM + MoS + Partial Shuffled](https://genailist.net/model/university-of-texas-at-austin/awd-lstm-mos-partial-shuffled.md) - [AWD-LSTM + Phrase Induction + finetuning (PTB)](https://genailist.net/model/massachusetts-institute-of-technology-mit/awd-lstm-phrase-induction-finetuning-ptb.md) - [AWD-LSTM + dynamic eval (PTB)](https://genailist.net/model/university-of-edinburgh/awd-lstm-dynamic-eval-ptb.md) - [AWD-LSTM + dynamic eval (WT2)](https://genailist.net/model/university-of-edinburgh/awd-lstm-dynamic-eval-wt2.md) - [AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (PTB)](https://genailist.net/model/salesforce-research/awd-lstm-3-layer-lstm-tied-continuous-cache-pointer-ptb.md) - [AWD-LSTM - 3-layer LSTM (tied) + continuous cache pointer (WT2)](https://genailist.net/model/salesforce-research/awd-lstm-3-layer-lstm-tied-continuous-cache-pointer-wt2.md) - [AWD-LSTM+Behaviorial-Gating](https://genailist.net/model/university-of-southern-california/awd-lstm-behaviorial-gating.md) - [AWD-LSTM+WT+Cache+IOG (PTB)](https://genailist.net/model/ntt-communication-science-laboratories/awd-lstm-wt-cache-iog-ptb.md) - [AWD-LSTM+WT+Cache+IOG (WT2)](https://genailist.net/model/ntt-communication-science-laboratories/awd-lstm-wt-cache-iog-wt2.md) - [AWD-LSTM-DOC (fin) (23M)](https://genailist.net/model/ntt-communication-science-laboratories/awd-lstm-doc-fin-23m.md) - [AWD-LSTM-DOC (fin) (37M)](https://genailist.net/model/ntt-communication-science-laboratories/awd-lstm-doc-fin-37m.md) - [AWD-LSTM-DRILL + dynamic evaluation† (PTB)](https://genailist.net/model/idiap/awd-lstm-drill-dynamic-evaluation-ptb.md) - [AWD-LSTM-DRILL + dynamic evaluation† (WT2)](https://genailist.net/model/idiap/awd-lstm-drill-dynamic-evaluation-wt2.md) - [AWD-LSTM-MoS + dynamic evaluation (PTB, 2017)](https://genailist.net/model/carnegie-mellon-university-cmu/awd-lstm-mos-dynamic-evaluation-ptb-2017.md) - [AWD-LSTM-MoS + dynamic evaluation (PTB, 2018)](https://genailist.net/model/peking-university/awd-lstm-mos-dynamic-evaluation-ptb-2018.md) - [AWD-LSTM-MoS + dynamic evaluation (WT2, 2017)](https://genailist.net/model/carnegie-mellon-university-cmu/awd-lstm-mos-dynamic-evaluation-wt2-2017.md) - [AWD-LSTM-MoS + dynamic evaluation (WT2, 2018)](https://genailist.net/model/peking-university/awd-lstm-mos-dynamic-evaluation-wt2-2018.md) - [AWD-LSTM-MoS+Noisin+dynamic evaluation (PTB)](https://genailist.net/model/columbia-university/awd-lstm-mos-noisin-dynamic-evaluation-ptb.md) - [AWD-LSTM-MoS+PDR + dynamic evaluation (PTB)](https://genailist.net/model/ibm/awd-lstm-mos-pdr-dynamic-evaluation-ptb.md) - [AWD-LSTM-MoS+PDR + dynamic evaluation (WT2)](https://genailist.net/model/ibm/awd-lstm-mos-pdr-dynamic-evaluation-wt2.md) - [AbGPT](https://genailist.net/model/carnegie-mellon-university-cmu/abgpt.md) - [AbLang (heavy sequences)](https://genailist.net/model/university-of-oxford/ablang-heavy-sequences.md) - [AdClickNet](https://genailist.net/model/facebook/adclicknet.md) - [AdaBoost.M2 Digit Recognition](https://genailist.net/model/at-t/adaboost-m2-digit-recognition.md) - [AdaRNN](https://genailist.net/model/beihang-university/adarnn.md) - [Adaptive Agent](https://genailist.net/model/deepmind/adaptive-agent.md) - [Adaptive Input Transformer + RD](https://genailist.net/model/microsoft-research-asia/adaptive-input-transformer-rd.md) - [Adaptive Inputs + LayerDrop](https://genailist.net/model/facebook-ai-research/adaptive-inputs-layerdrop.md) - [Adaptive LSTM + DeFINE](https://genailist.net/model/university-of-washington/adaptive-lstm-define.md) - [Adaptive Subgrad](https://genailist.net/model/technion-israel-institute-of-technology/adaptive-subgrad.md) - [AdvSoft + 4 layer QRNN + dynamic evaluation (WT103)](https://genailist.net/model/university-of-texas-at-austin/advsoft-4-layer-qrnn-dynamic-evaluation-wt103.md) - [Advantage Learning](https://genailist.net/model/google-deepmind/advantage-learning.md) - [Adversarial + AWD-LSTM-MoS + partial shuffled](https://genailist.net/model/university-of-texas-at-austin/adversarial-awd-lstm-mos-partial-shuffled.md) - [Adversarial Joint Adaptation Network (ResNet)](https://genailist.net/model/tsinghua-university/adversarial-joint-adaptation-network-resnet.md) - [Aeneas](https://genailist.net/model/google-deepmind/aeneas.md) - [Agent Q](https://genailist.net/model/stanford-university/agent-q.md) - [Agent57](https://genailist.net/model/deepmind/agent57.md) - [AgentFounder-30B](https://genailist.net/model/alibaba/agentfounder-30b.md) - [Agentar-Fin-R1 32B](https://genailist.net/model/ant-group/agentar-fin-r1-32b.md) - [Agentar-Fin-R1 8B](https://genailist.net/model/ant-group/agentar-fin-r1-8b.md) - [Agents-A1](https://genailist.net/model/shanghai-ai-lab/agents-a1.md) - [Agile Soccer Robot](https://genailist.net/model/google-deepmind/agile-soccer-robot.md) - [Aha (大模型)](https://genailist.net/model/shanghai-xingzhi-technology-co/aha.md) - [AiLMe-100B v3](https://genailist.net/model/qilin-hesheng-network-technology-co/ailme-100b-v3.md) - [Aleph 2.0](https://genailist.net/model/runway/aleph-2-0.md) - [AlexNet](https://genailist.net/model/university-of-toronto/alexnet.md) - [AlexNet + coordinating filters](https://genailist.net/model/university-of-pittsburgh/alexnet-coordinating-filters.md) - [AlexaTM 20B](https://genailist.net/model/amazon/alexatm-20b.md) - [Alfie](https://genailist.net/model/aimagelab/alfie-rgba.md) - [Alibaba-NLP (mGTE)](https://genailist.net/model/alibaba/alibaba-nlp-mgte.md) - [All-attention network + adaptive span](https://genailist.net/model/facebook-ai-research/all-attention-network-adaptive-span.md) - [Allegro](https://genailist.net/model/rhymes-ai/allegro.md) - [Alleviated TOI 10 (PTB)](https://genailist.net/model/ecole-polytechnique-f-ed-erale-de-lausanne-epfl/alleviated-toi-10-ptb.md) - [Alleviated TOI 10 (WT103)](https://genailist.net/model/ecole-polytechnique-f-ed-erale-de-lausanne-epfl/alleviated-toi-10-wt103.md) - [Alleviated TOI 10 (WT2)](https://genailist.net/model/ecole-polytechnique-f-ed-erale-de-lausanne-epfl/alleviated-toi-10-wt2.md) - [Alpaca](https://genailist.net/model/stanford-university/alpaca.md) - [AlphaChip](https://genailist.net/model/google-deepmind/alphachip.md) - [AlphaCode](https://genailist.net/model/deepmind/alphacode.md) - [AlphaEarth Foundations (AEF)](https://genailist.net/model/google-deepmind/alphaearth-foundations-aef.md) - [AlphaEvolve](https://genailist.net/model/deepmind/alphaevolve.md) - [AlphaFold](https://genailist.net/model/deepmind/alphafold.md) - [AlphaFold 2](https://genailist.net/model/deepmind/alphafold-2.md) - [AlphaFold 3](https://genailist.net/model/google-deepmind/alphafold-3.md) - [AlphaFold-Multimer](https://genailist.net/model/google-deepmind/alphafold-multimer.md) - [AlphaGenome](https://genailist.net/model/google-deepmind/alphagenome.md) - [AlphaGeometry](https://genailist.net/model/google-deepmind/alphageometry.md) - [AlphaGeometry 2](https://genailist.net/model/google-deepmind/alphageometry-2.md) - [AlphaGo Fan](https://genailist.net/model/deepmind/alphago-fan.md) - [AlphaGo Lee](https://genailist.net/model/deepmind/alphago-lee.md) - [AlphaGo Master](https://genailist.net/model/deepmind/alphago-master.md) - [AlphaGo Zero](https://genailist.net/model/deepmind/alphago-zero.md) - [AlphaLink](https://genailist.net/model/technische-universitat-berlin/alphalink.md) - [AlphaMissense](https://genailist.net/model/google-deepmind/alphamissense.md) - [AlphaMut](https://genailist.net/model/indian-institute-of-science-education-and-research/alphamut.md) - [AlphaProof](https://genailist.net/model/google-deepmind/alphaproof.md) - [AlphaProteo](https://genailist.net/model/google-deepmind/alphaproteo.md) - [AlphaStar](https://genailist.net/model/deepmind/alphastar.md) - [AlphaTensor](https://genailist.net/model/deepmind/alphatensor.md) - [AlphaX-1](https://genailist.net/model/facebook-ai-research/alphax-1.md) - [AlphaZero](https://genailist.net/model/deepmind/alphazero.md) - [Alphaflow](https://genailist.net/model/massachusetts-institute-of-technology-mit/alphaflow.md) - [AltCLIP_M9](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/altclip-m9.md) - [Amazon Nova 2 Lite](https://genailist.net/model/amazon/amazon-nova-2-lite.md) - [Amazon Nova 2 Omni (Preview)](https://genailist.net/model/amazon/amazon-nova-2-omni-preview.md) - [Amazon Nova 2 Pro (Preview)](https://genailist.net/model/amazon/amazon-nova-2-pro-preview.md) - [Amazon Nova 2 Sonic](https://genailist.net/model/amazon/amazon-nova-2-sonic.md) - [Amazon Nova Act](https://genailist.net/model/amazon/amazon-nova-act.md) - [Amazon Nova Canvas](https://genailist.net/model/amazon/amazon-nova-canvas.md) - [Amazon Nova Lite](https://genailist.net/model/amazon/amazon-nova-lite.md) - [Amazon Nova Micro](https://genailist.net/model/amazon/amazon-nova-micro.md) - [Amazon Nova Multimodal Embeddings](https://genailist.net/model/amazon/amazon-nova-multimodal-embeddings.md) - [Amazon Nova Premier](https://genailist.net/model/amazon/amazon-nova-premier.md) - [Amazon Nova Pro](https://genailist.net/model/amazon/amazon-nova-pro.md) - [Amazon Nova Reel](https://genailist.net/model/amazon/amazon-nova-reel.md) - [Amazon Nova Sonic](https://genailist.net/model/amazon/amazon-nova-sonic.md) - [Amazon Q Developer](https://genailist.net/model/amazon/amazon-q-developer.md) - [Amazon Titan](https://genailist.net/model/amazon/amazon-titan.md) - [Amazon Titan Text Express](https://genailist.net/model/amazon/amazon-titan-text-express.md) - [Amazon Titan Text Lite](https://genailist.net/model/amazon/amazon-titan-text-lite.md) - [Amazon Titan Text Premier](https://genailist.net/model/amazon/amazon-titan-text-premier.md) - [Amazon Transcribe](https://genailist.net/model/amazon/amazon-transcribe.md) - [Amber](https://genailist.net/model/mohamed-bin-zayed-university-of-artificial-intelligence-mbzuai/amber.md) - [AminoAcid-0](https://genailist.net/model/ginkgo-bioworks/aminoacid-0.md) - [AminoBert](https://genailist.net/model/harvard-medical-school/aminobert.md) - [AmoebaNet-A (F=448)](https://genailist.net/model/google-brain/amoebanet-a-f-448.md) - [AndesGPT](https://genailist.net/model/oppo-mobile-telecommunications/andesgpt.md) - [Animate Anyone](https://genailist.net/model/alibaba/animate-anyone.md) - [Animate Anyone 2](https://genailist.net/model/alibaba/animate-anyone-2.md) - [Ankh_base](https://genailist.net/model/technical-university-of-munich/ankh-base.md) - [Ankh_large](https://genailist.net/model/technical-university-of-munich/ankh-large.md) - [Anthropic LM 175B](https://genailist.net/model/anthropic/anthropic-lm-175b.md) - [Anthropic LM 52B](https://genailist.net/model/anthropic/anthropic-lm-52b.md) - [AntiFormer](https://genailist.net/model/university-of-florida/antiformer.md) - [Apertus 1.5 70B](https://genailist.net/model/swiss-ai/apertus-v1-5-70b.md) - [Apertus 70B](https://genailist.net/model/eth-zurich/apertus-70b.md) - [Apertus 8B](https://genailist.net/model/eth-zurich/apertus-8b.md) - [Apollo 1.5B](https://genailist.net/model/meta-ai/apollo-1-5b.md) - [Apollo 3B](https://genailist.net/model/meta-ai/apollo-3b.md) - [Apollo 7B](https://genailist.net/model/meta-ai/apollo-7b.md) - [Apollo-7B](https://genailist.net/model/meta-ai/apollo-7b-1.md) - [Apple Foundation Models 3](https://genailist.net/model/apple/apple-foundation-models-3.md) - [Apriel Nemotron 15B](https://genailist.net/model/nvidia/apriel-nemotron-15b.md) - [Aquila2 34B](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/aquila2-34b.md) - [AraBERT](https://genailist.net/model/american-university-of-beirut/arabert.md) - [AraBERT LArge v2](https://genailist.net/model/american-university-of-beirut/arabert-large-v2.md) - [AraELECTRA](https://genailist.net/model/american-university-of-beirut/araelectra.md) - [AraGPT2-Mega](https://genailist.net/model/american-university-of-beirut/aragpt2-mega.md) - [Aramco Metabrain AI](https://genailist.net/model/saudi-aramco/aramco-metabrain-ai.md) - [Arctic](https://genailist.net/model/snowflake/arctic.md) - [Arctic-Text2SQL-R2](https://genailist.net/model/snowflake/arctic-text2sql-r2.md) - [Aria](https://genailist.net/model/rhymes-ai/aria.md) - [Aristotle](https://genailist.net/model/harmonic/aristotle.md) - [Ark LLM (方舟大模型)](https://genailist.net/model/zhuhai-wujiefangzhou-intelligent-technology/ark-llm.md) - [Art2Mus](https://genailist.net/model/university-of-bari/art2mus.md) - [Astra 2](https://genailist.net/model/topaz-labs/astra-2.md) - [AstroOne](https://genailist.net/model/zhijiang-lab/astroone.md) - [Athene-70B](https://genailist.net/model/nexusflow/athene-70b.md) - [Athene-V2](https://genailist.net/model/nexusflow/athene-v2.md) - [Atlantes](https://genailist.net/model/allen-institute-for-ai/atlantes.md) - [AtomFlow](https://genailist.net/model/peking-university/atomflow.md) - [Attend-Infer-Repeat](https://genailist.net/model/google-deepmind/attend-infer-repeat.md) - [Audio8 TTS Preview 0.6B](https://genailist.net/model/audio8/audio8-tts-preview-0-6b.md) - [AudioGen](https://genailist.net/model/meta-ai/audiogen.md) - [AudioLM](https://genailist.net/model/google-research/audiolm.md) - [Audioseal](https://genailist.net/model/facebook-ai-research/audioseal.md) - [Aurora](https://genailist.net/model/microsoft-research/aurora.md) - [AutoDiff](https://genailist.net/model/galixir-technologies/autodiff.md) - [AutoGLM Rumination](https://genailist.net/model/zhipu-ai/autoglm-rumination.md) - [AutoGLM-Phone-Multilingual](https://genailist.net/model/zhipu-ai/autoglm-phone-multilingual.md) - [Automated design of multi-target ligands by generative deep learning](https://genailist.net/model/goethe-university-frankfurt/automated-design-of-multi-target-ligands-by-generative-deep-learning.md) - [Aya](https://genailist.net/model/cohere-for-ai/aya.md) - [Aya Expanse 32B](https://genailist.net/model/cohere-for-ai/aya-expanse-32b.md) - [Aya Expanse 8B](https://genailist.net/model/cohere-for-ai/aya-expanse-8b.md) - [Aya Vision](https://genailist.net/model/cohere/aya-vision.md) - [Aya Vision 32B](https://genailist.net/model/cohere/aya-vision-32b.md) - [AzeroGPT](https://genailist.net/model/soundai/azerogpt.md) - [Azzurro](https://genailist.net/model/moxoff/azzurro.md) - [B2T connection (16L)](https://genailist.net/model/line-corporation/b2t-connection-16l.md) - [BADGER](https://genailist.net/model/nvidia/badger.md) - [BAPO 32B](https://genailist.net/model/fudan-university/bapo-32b.md) - [BART-IT](https://genailist.net/model/politecnico-di-torino/bart-it.md) - [BART-large](https://genailist.net/model/facebook-ai/bart-large.md) - [BASIC-L](https://genailist.net/model/google/basic-l.md) - [BASIC-L + Lion](https://genailist.net/model/google/basic-l-lion.md) - [BEIT-3](https://genailist.net/model/microsoft/beit-3.md) - [BELLE-7B-0.2M](https://genailist.net/model/ke-holdings-inc-beike/belle-7b-0-2m.md) - [BELLE-7B-0.6M](https://genailist.net/model/ke-holdings-inc-beike/belle-7b-0-6m.md) - [BELLE-7B-1M](https://genailist.net/model/ke-holdings-inc-beike/belle-7b-1m.md) - [BELLE-7B-2M](https://genailist.net/model/ke-holdings-inc-beike/belle-7b-2m.md) - [BELLE-LLaMA-13B-2M-enc](https://genailist.net/model/ke-holdings-inc-beike/belle-llama-13b-2m-enc.md) - [BELLE-LLaMA-7B-0.6M-enc](https://genailist.net/model/ke-holdings-inc-beike/belle-llama-7b-0-6m-enc.md) - [BELLE-LLaMA-7B-2M-enc](https://genailist.net/model/ke-holdings-inc-beike/belle-llama-7b-2m-enc.md) - [BELLE-LLaMA-EXT-7B](https://genailist.net/model/ke-holdings-inc-beike/belle-llama-ext-7b.md) - [BELLE-Llama2-13B-chat-0.4M](https://genailist.net/model/ke-holdings-inc-beike/belle-llama2-13b-chat-0-4m.md) - [BERT-Large](https://genailist.net/model/google/bert-large.md) - [BERT-Large-CAS (PTB+WT2+WT103)](https://genailist.net/model/amazon/bert-large-cas-ptb-wt2-wt103.md) - [BERT-Large-CAS (WT103)](https://genailist.net/model/amazon/bert-large-cas-wt103.md) - [BERT-Large-CAS (WT2)](https://genailist.net/model/amazon/bert-large-cas-wt2.md) - [BERT-RBP](https://genailist.net/model/waseda-university/bert-rbp.md) - [BFS-Prover](https://genailist.net/model/bytedance/bfs-prover.md) - [BGE-M3 Embedding](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/bge-m3-embedding.md) - [BIDAF](https://genailist.net/model/university-of-washington/bidaf.md) - [BIG LSTM+CNN INPUTS](https://genailist.net/model/google-brain/big-lstm-cnn-inputs.md) - [BIG LSTM+CNN INPUTS](https://genailist.net/model/unknown/big-lstm-cnn-inputs-1.md) - [BIG-G 137B](https://genailist.net/model/google/big-g-137b.md) - [BITTERS](https://genailist.net/model/lg/bitters.md) - [BLIP-2 (Q-Former)](https://genailist.net/model/salesforce-research/blip-2-q-former.md) - [BLOOM-1.7B](https://genailist.net/model/hugging-face/bloom-1-7b.md) - [BLOOM-176B](https://genailist.net/model/hugging-face/bloom-176b.md) - [BLOOM-1B](https://genailist.net/model/hugging-face/bloom-1b.md) - [BLOOM-3B](https://genailist.net/model/hugging-face/bloom-3b.md) - [BLOOM-560M](https://genailist.net/model/hugging-face/bloom-560m.md) - [BLOOM-7.1B](https://genailist.net/model/hugging-face/bloom-7-1b.md) - [BLOOMZ-176B](https://genailist.net/model/hugging-face/bloomz-176b.md) - [BLSTM for handwriting (1)](https://genailist.net/model/university-of-bern/blstm-for-handwriting-1.md) - [BLUUMI](https://genailist.net/model/university-of-turku/bluumi.md) - [BP-DBN](https://genailist.net/model/university-of-toronto/bp-dbn.md) - [BPL](https://genailist.net/model/university-of-toronto/bpl.md) - [BRIA 2.3](https://genailist.net/model/bria-ai/bria-2-3.md) - [BRIA 3.1](https://genailist.net/model/bria-ai/bria-3-1.md) - [BTFBS](https://genailist.net/model/nanjing-agricultural-university/btfbs.md) - [BTLM-3B](https://genailist.net/model/cerebras-systems/btlm-3b.md) - [BaiLing](https://genailist.net/model/ant-group/bailing.md) - [BaiLing TTS](https://genailist.net/model/ant-group/bailing-tts.md) - [Baichuan 1-13B](https://genailist.net/model/baichuan/baichuan-1-13b.md) - [Baichuan 2-7B](https://genailist.net/model/baichuan/baichuan-2-7b.md) - [Baichuan-M4](https://genailist.net/model/baichuan/baichuan-m4.md) - [Baichuan-Omni](https://genailist.net/model/baichuan/baichuan-omni.md) - [Baichuan-Omni-1.5](https://genailist.net/model/baichuan/baichuan-omni-1-5.md) - [Baichuan1-7B](https://genailist.net/model/baichuan/baichuan1-7b.md) - [Baichuan2-13B](https://genailist.net/model/baichuan/baichuan2-13b.md) - [Baichuan2-53B](https://genailist.net/model/baichuan/baichuan2-53b.md) - [Baichuan3](https://genailist.net/model/baichuan/baichuan3.md) - [Baichuan4](https://genailist.net/model/unknown/baichuan4.md) - [Baigong (百工)](https://genailist.net/model/shanghai-lingyi-artificial-intelligence-technology-co/baigong.md) - [Bailing-Pro-20250225](https://genailist.net/model/ant-group/bailing-pro-20250225.md) - [Baize-v2-13B (白泽)](https://genailist.net/model/university-of-california-san-diego/baize-v2-13b.md) - [Bankruptcy-NN](https://genailist.net/model/unknown/bankruptcy-nn.md) - [Base 1](https://genailist.net/model/base44/base-1.md) - [Base LM + kNN LM + Continuous Cache](https://genailist.net/model/stanford-university/base-lm-knn-lm-continuous-cache.md) - [BaseFold](https://genailist.net/model/basecamp-research/basefold.md) - [BatchNorm](https://genailist.net/model/google/batchnorm.md) - [Bayesian automated hyperparameter tuning](https://genailist.net/model/university-of-toronto/bayesian-automated-hyperparameter-tuning.md) - [Bayesian object categorizer](https://genailist.net/model/california-institute-of-technology/bayesian-object-categorizer.md) - [Beiruan (北软大模型)](https://genailist.net/model/beijing-beida-software-engineering-co/beiruan.md) - [Belle VL](https://genailist.net/model/ke-holdings-inc-beike/belle-vl.md) - [Belle-whisper-larger-v3-turbo-zh](https://genailist.net/model/unknown/belle-whisper-larger-v3-turbo-zh-1.md) - [Belle-whisper-larger-v3-turbo-zh](https://genailist.net/model/ke-holdings-inc-beike/belle-whisper-larger-v3-turbo-zh.md) - [Bencao Zhiku](https://genailist.net/model/chengdu-university-of-traditional-chinese-medicine/bencao-zhiku.md) - [BetterBodies](https://genailist.net/model/university-of-freiburg/betterbodies.md) - [Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient](https://genailist.net/model/huazhong-university-of-science-and-technology/beyond-esm2-graph-enhanced-protein-sequence-modeling-with-efficient.md) - [BiLSTM for Speech](https://genailist.net/model/idsia/bilstm-for-speech.md) - [BiRNA-BERT](https://genailist.net/model/bangladesh-university-of-engineering-and-technology/birna-bert.md) - [Bielik 7B](https://genailist.net/model/speakleash/bielik-7b.md) - [Bielik-11B-v2](https://genailist.net/model/speakleash/bielik-11b-v2.md) - [Big Transfer (BiT-M)](https://genailist.net/model/google-brain/big-transfer-bit-m.md) - [Big Transformer for Back-Translation](https://genailist.net/model/facebook-ai-research/big-transformer-for-back-translation.md) - [Big-Little Net](https://genailist.net/model/ibm/big-little-net.md) - [Big-Little Net (speech)](https://genailist.net/model/ibm/big-little-net-speech.md) - [Big-Little Net (vision)](https://genailist.net/model/ibm/big-little-net-vision.md) - [BigGAN-deep 512x512](https://genailist.net/model/heriot-watt-university/biggan-deep-512x512.md) - [BigRNA](https://genailist.net/model/deepgenomics/bigrna.md) - [Binarized Neural Network (MNIST)](https://genailist.net/model/technion-israel-institute-of-technology/binarized-neural-network-mnist.md) - [BindCraft](https://genailist.net/model/ecole-polytechnique-f-ed-erale-de-lausanne-epfl/bindcraft.md) - [BindDM](https://genailist.net/model/peng-cheng-laboratory/binddm.md) - [BiomedGPT (182M)](https://genailist.net/model/lehigh-university/biomedgpt-182m.md) - [BiosimDock](https://genailist.net/model/deeporigin/biosimdock.md) - [Bird Vocalization Classifier (Perch)](https://genailist.net/model/google-research/bird-vocalization-classifier-perch.md) - [BitNet b1.58](https://genailist.net/model/university-of-chinese-academy-of-sciences/bitnet-b1-58.md) - [BlenderBot 3](https://genailist.net/model/mcgill-university/blenderbot-3.md) - [BloombergGPT](https://genailist.net/model/bloomberg/bloomberggpt.md) - [BlueLM 130B](https://genailist.net/model/vivo-ai-lab/bluelm-130b.md) - [BlueLM 175B](https://genailist.net/model/vivo-ai-lab/bluelm-175b.md) - [BlueLM 70B](https://genailist.net/model/vivo-ai-lab/bluelm-70b.md) - [BlueLM 7B](https://genailist.net/model/vivo-ai-lab/bluelm-7b.md) - [BlueOcean LLM 2.0 (萤石蓝海)](https://genailist.net/model/hangzhou-ezviz-software-co/blueocean-llm-2-0.md) - [Boltz-1](https://genailist.net/model/massachusetts-institute-of-technology-mit/boltz-1.md) - [Boltz-2](https://genailist.net/model/massachusetts-institute-of-technology-mit/boltz-2.md) - [Bonsai 27B](https://genailist.net/model/prismml/bonsai-27b.md) - [Boosting](https://genailist.net/model/bell-laboratories/boosting.md) - [Boss (DARPA Urban Challenge)](https://genailist.net/model/carnegie-mellon-university-cmu/boss-darpa-urban-challenge.md) - [Boxes (pole)](https://genailist.net/model/university-of-edinburgh/boxes-pole.md) - [Brain2Qwerty](https://genailist.net/model/meta-ai/brain2qwerty.md) - [ByT5-XXL](https://genailist.net/model/google/byt5-xxl.md) - [ByteDance Seaweed](https://genailist.net/model/bytedance/bytedance-seaweed.md) - [C2S-Scale](https://genailist.net/model/google-research/c2s-scale.md) - [CALM](https://genailist.net/model/nvidia/calm.md) - [CARP](https://genailist.net/model/microsoft-research/carp.md) - [CCL](https://genailist.net/model/sensetime/ccl.md) - [CD-GraB (WT2)](https://genailist.net/model/cornell-university/cd-grab-wt2.md) - [CELLE-2](https://genailist.net/model/chan-zuckerberg-initiative/celle-2.md) - [CFSS](https://genailist.net/model/sensetime/cfss.md) - [CHAI-1](https://genailist.net/model/chai-discovery/chai-1.md) - [CHIEF](https://genailist.net/model/harvard-medical-school/chief.md) - [CICERO](https://genailist.net/model/meta-ai/cicero.md) - [CLAPE-DB](https://genailist.net/model/tsinghua-university/clape-db.md) - [CLAY](https://genailist.net/model/shanghai-tech-university/clay.md) - [CLEAN-Contact](https://genailist.net/model/cleveland-clinic/clean-contact.md) - [CLIP (ResNet-50)](https://genailist.net/model/openai/clip-resnet-50.md) - [CLIP (ViT L/14@336px)](https://genailist.net/model/openai/clip-vit-l-14-336px.md) - [CLIP ViT-H/14 - LAION-2B](https://genailist.net/model/laion/clip-vit-h-14-laion-2b.md) - [CLR_ESP](https://genailist.net/model/kansas-state-university/clr-esp.md) - [CLUE](https://genailist.net/model/naver-clova/clue.md) - [CMS-RCNN](https://genailist.net/model/ieee/cms-rcnn.md) - [CNN Committee (MNIST)](https://genailist.net/model/idsia/cnn-committee-mnist.md) - [CNN Committee (NIST)](https://genailist.net/model/idsia/cnn-committee-nist.md) - [CNN committee (traffic sign)](https://genailist.net/model/idsia/cnn-committee-traffic-sign.md) - [CODA](https://genailist.net/model/the-university-of-hong-kong/coda.md) - [CODEFUSION (Python)](https://genailist.net/model/microsoft/codefusion-python.md) - [COLLECTIVE-1](https://genailist.net/model/unknown/collective-1.md) - [CPAC](https://genailist.net/model/texas-a-m/cpac.md) - [CPCProt](https://genailist.net/model/university-of-toronto/cpcprot.md) - [CPDiffusion](https://genailist.net/model/shanghai-jiao-tong-university/cpdiffusion.md) - [CPM-2](https://genailist.net/model/tsinghua-university/cpm-2.md) - [CPM-Ant](https://genailist.net/model/tsinghua-university/cpm-ant.md) - [CPM-Bee](https://genailist.net/model/tsinghua-university/cpm-bee.md) - [CPM-Large](https://genailist.net/model/tsinghua-university/cpm-large.md) - [CRF-RNN](https://genailist.net/model/university-of-oxford/crf-rnn.md) - [CRL](https://genailist.net/model/ulm-university/crl.md) - [CRYSTALCODER](https://genailist.net/model/mohamed-bin-zayed-university-of-artificial-intelligence-mbzuai/crystalcoder.md) - [CT-MoS (PTB)](https://genailist.net/model/national-tsing-hua-university/ct-mos-ptb.md) - [CT-MoS (WT2)](https://genailist.net/model/google/ct-mos-wt2.md) - [CT-MoS + DynamicEval (PTB)](https://genailist.net/model/national-tsing-hua-university/ct-mos-dynamiceval-ptb.md) - [CT-MoS + DynamicEval (WT2)](https://genailist.net/model/national-tsing-hua-university/ct-mos-dynamiceval-wt2.md) - [CTM (CIFAR-10)](https://genailist.net/model/stanford-university/ctm-cifar-10.md) - [CTR-BERT](https://genailist.net/model/amazon/ctr-bert.md) - [CXR Foundation](https://genailist.net/model/google/cxr-foundation.md) - [CaLM](https://genailist.net/model/university-of-oxford/calm-1.md) - [Calm2-7B](https://genailist.net/model/cyberagent/calm2-7b.md) - [Cambrian-1-13B](https://genailist.net/model/new-york-university-nyu/cambrian-1-13b.md) - [Cambrian-1-34B](https://genailist.net/model/new-york-university-nyu/cambrian-1-34b.md) - [Cambrian-1-8B](https://genailist.net/model/new-york-university-nyu/cambrian-1-8b.md) - [CamemBERT](https://genailist.net/model/facebook/camembert.md) - [Camoscio](https://genailist.net/model/sapienza-nlp/camoscio.md) - [Canary 1B v2](https://genailist.net/model/nvidia/canary-1b-v2.md) - [Cancer drug mechanism prediction](https://genailist.net/model/national-cancer-institute/cancer-drug-mechanism-prediction.md) - [CarrotAI (CarrotAI大模型)](https://genailist.net/model/jiangsu-huizhi-intelligent-digital-technology-co/carrotai-carrotai.md) - [Cartesia Ink-2](https://genailist.net/model/cartesia/cartesia-ink-2.md) - [Cascaded LNet-ANet](https://genailist.net/model/chinese-university-of-hong-kong-cuhk/cascaded-lnet-anet.md) - [CassetteAI](https://genailist.net/model/cassetteai/cassetteai.md) - [CausalLM 14B](https://genailist.net/model/causallm/causallm-14b.md) - [CausalLM 34B β](https://genailist.net/model/causallm/causallm-34b.md) - [Cerbero 7B](https://genailist.net/model/university-of-pisa/cerbero-7b.md) - [Cerebras-GPT-13B](https://genailist.net/model/cerebras-systems/cerebras-gpt-13b.md) - [Chameleon-34B](https://genailist.net/model/facebook-ai-research/chameleon-34b.md) - [Char-CNN-BiLSTM](https://genailist.net/model/capital-one/char-cnn-bilstm.md) - [Character-3](https://genailist.net/model/hedra-ai/character-3.md) - [Character-enriched word2vec](https://genailist.net/model/facebook-ai-research/character-enriched-word2vec.md) - [CharacterGLM](https://genailist.net/model/beijing-lingxin-intelligent-technology-co/characterglm.md) - [ChatBit](https://genailist.net/model/beijing-institute-of-technology/chatbit.md) - [ChatGLM3-6B](https://genailist.net/model/zhipu-ai/chatglm3-6b.md) - [ChatGPT agent](https://genailist.net/model/openai/chatgpt-agent.md) - [ChatLing (灵犀大模型)](https://genailist.net/model/beijing-58-information-technology/chatling.md) - [ChatMinerva](https://genailist.net/model/sapienza-nlp/chatminerva.md) - [ChatMol](https://genailist.net/model/tsinghua-university/chatmol.md) - [ChatRhino](https://genailist.net/model/jd-com/chatrhino.md) - [Chatterbox Multilingual](https://genailist.net/model/resemble-ai/chatterbox-multilingual.md) - [Chatterbox Multilingual v3](https://genailist.net/model/resemble-ai/chatterbox-multilingual-v3.md) - [ChemBERTa](https://genailist.net/model/university-of-toronto/chemberta.md) - [ChemNet](https://genailist.net/model/university-of-washington/chemnet.md) - [Chemistry42](https://genailist.net/model/insilico-medicine-ai/chemistry42.md) - [Chinchilla](https://genailist.net/model/deepmind/chinchilla.md) - [Chinese - English translation](https://genailist.net/model/microsoft/chinese-english-translation.md) - [Chirp](https://genailist.net/model/google/chirp.md) - [Chirp 2 Speech-to-Text](https://genailist.net/model/google/chirp-2-speech-to-text.md) - [Chirp 3 HD Text-to-Speech](https://genailist.net/model/google/chirp-3-hd-text-to-speech.md) - [Chirp 3 Speech-to-Text](https://genailist.net/model/google/chirp-3-speech-to-text.md) - [ChunkLlama2-13B](https://genailist.net/model/alibaba/chunkllama2-13b.md) - [Claude](https://genailist.net/model/anthropic/claude.md) - [Claude 1.3](https://genailist.net/model/anthropic/claude-1-3.md) - [Claude 2](https://genailist.net/model/anthropic/claude-2.md) - [Claude 2.1](https://genailist.net/model/anthropic/claude-2-1.md) - [Claude 3 Haiku](https://genailist.net/model/anthropic/claude-3-haiku.md) - [Claude 3 Opus](https://genailist.net/model/anthropic/claude-3-opus.md) - [Claude 3 Sonnet](https://genailist.net/model/anthropic/claude-3-sonnet.md) - [Claude 3.5 Haiku](https://genailist.net/model/anthropic/claude-3-5-haiku.md) - [Claude 3.5 Sonnet](https://genailist.net/model/anthropic/claude-3-5-sonnet.md) - [Claude 3.7 Sonnet](https://genailist.net/model/anthropic/claude-3-7-sonnet.md) - [Claude 4](https://genailist.net/model/anthropic/claude-4.md) - [Claude Fable 5](https://genailist.net/model/anthropic/claude-fable-5.md) - [Claude Gov](https://genailist.net/model/anthropic/claude-gov.md) - [Claude Haiku 4.5](https://genailist.net/model/anthropic/claude-haiku-4-5.md) - [Claude Instant](https://genailist.net/model/anthropic/claude-instant.md) - [Claude Mythos 5](https://genailist.net/model/anthropic/claude-mythos-5.md) - [Claude Mythos Preview](https://genailist.net/model/anthropic/claude-mythos-preview.md) - [Claude Opus 4](https://genailist.net/model/anthropic/claude-opus-4.md) - [Claude Opus 4.1](https://genailist.net/model/anthropic/claude-opus-4-1.md) - [Claude Opus 4.5](https://genailist.net/model/anthropic/claude-opus-4-5.md) - [Claude Opus 4.6](https://genailist.net/model/anthropic/claude-opus-4-6.md) - [Claude Opus 4.7](https://genailist.net/model/anthropic/claude-opus-4-7.md) - [Claude Opus 5](https://genailist.net/model/anthropic/claude-opus-5.md) - [Claude Sonnet 3.7](https://genailist.net/model/anthropic/claude-sonnet-3-7.md) - [Claude Sonnet 4](https://genailist.net/model/anthropic/claude-sonnet-4.md) - [Claude Sonnet 4.5](https://genailist.net/model/anthropic/claude-sonnet-4-5.md) - [Claude Sonnet 4.6](https://genailist.net/model/anthropic/claude-sonnet-4-6.md) - [Clockwork RNN (CW-RNN)](https://genailist.net/model/idsia/clockwork-rnn-cw-rnn.md) - [CoAtNet](https://genailist.net/model/google/coatnet.md) - [CoCa](https://genailist.net/model/google-research/coca.md) - [CoEdiT-xxl](https://genailist.net/model/university-of-minnesota/coedit-xxl.md) - [CoPRA](https://genailist.net/model/tsinghua-university/copra.md) - [CoRe](https://genailist.net/model/tsinghua-university/core.md) - [Coconut](https://genailist.net/model/facebook/coconut.md) - [Code Droid](https://genailist.net/model/factory/code-droid.md) - [Code Llama-13B](https://genailist.net/model/meta-ai/code-llama-13b.md) - [Code Llama-34B](https://genailist.net/model/meta-ai/code-llama-34b.md) - [Code Llama-70B](https://genailist.net/model/meta-ai/code-llama-70b.md) - [Code Llama-7B](https://genailist.net/model/meta-ai/code-llama-7b.md) - [CodeFuse-13B](https://genailist.net/model/ant-group/codefuse-13b.md) - [CodeGeeX](https://genailist.net/model/zhipu-ai/codegeex.md) - [CodeGen-Mono 16.1B](https://genailist.net/model/salesforce/codegen-mono-16-1b.md) - [CodeGen2](https://genailist.net/model/salesforce/codegen2.md) - [CodeGen2.5](https://genailist.net/model/salesforce/codegen2-5.md) - [CodeScientist](https://genailist.net/model/allen-institute-for-ai/codescientist.md) - [CodeT5+](https://genailist.net/model/salesforce/codet5.md) - [CodeT5-base](https://genailist.net/model/salesforce/codet5-base.md) - [CodeT5-large](https://genailist.net/model/salesforce/codet5-large.md) - [CodeWhisperer](https://genailist.net/model/amazon/codewhisperer.md) - [Codestral](https://genailist.net/model/mistral-ai/codestral.md) - [Codestral Embed](https://genailist.net/model/mistral-ai/codestral-embed.md) - [Codestral Mamba](https://genailist.net/model/mistral-ai/codestral-mamba.md) - [Codex](https://genailist.net/model/openai/codex.md) - [CodonMPNN](https://genailist.net/model/harvard-medical-school/codonmpnn.md) - [CodonTransformer](https://genailist.net/model/vector-institute/codontransformer.md) - [CogAgent](https://genailist.net/model/tsinghua-university/cogagent.md) - [CogVLM-17B](https://genailist.net/model/tsinghua-university/cogvlm-17b.md) - [CogVideo](https://genailist.net/model/tsinghua-university/cogvideo.md) - [CogVideoX](https://genailist.net/model/zhipu-ai/cogvideox.md) - [CogView](https://genailist.net/model/tsinghua-university/cogview.md) - [CogView2](https://genailist.net/model/tsinghua-university/cogview2.md) - [Cogito 1 series](https://genailist.net/model/unknown/cogito-1-series.md) - [Cognitron](https://genailist.net/model/biological-cybernetics/cognitron.md) - [Cohere Command](https://genailist.net/model/cohere/cohere-command.md) - [Cohere Command A](https://genailist.net/model/cohere/cohere-command-a.md) - [Cohere Command A Reasoning](https://genailist.net/model/cohere/cohere-command-a-reasoning.md) - [Cohere Command Light](https://genailist.net/model/cohere/cohere-command-light.md) - [Cohere Embed](https://genailist.net/model/cohere/cohere-embed.md) - [Cohere Embed 4](https://genailist.net/model/cohere/cohere-embed-4.md) - [Cohere Transcribe](https://genailist.net/model/cohere/cohere-transcribe.md) - [Cohere Transcribe Arabic](https://genailist.net/model/cohere/cohere-transcribe-arabic.md) - [ColPali](https://genailist.net/model/illuin-technology/colpali.md) - [CollabLLM](https://genailist.net/model/stanford-university/collabllm.md) - [Colosseum 355B](https://genailist.net/model/igenius/colosseum-355b.md) - [Command A](https://genailist.net/model/cohere/command-a.md) - [Command A Reasoning](https://genailist.net/model/cohere/command-a-reasoning.md) - [Command A Translate](https://genailist.net/model/cohere/command-a-translate.md) - [Command A Vision](https://genailist.net/model/cohere/command-a-vision.md) - [Command A+](https://genailist.net/model/cohere/command-a-plus.md) - [Command R](https://genailist.net/model/cohere/command-r-1.md) - [Command R+](https://genailist.net/model/cohere/command-r.md) - [Community Research Earth Digital Intelligence Twin (CREDIT)](https://genailist.net/model/unknown/community-research-earth-digital-intelligence-twin-credit.md) - [CompACT-Deep](https://genailist.net/model/university-of-california-san-diego/compact-deep.md) - [Composer](https://genailist.net/model/cursor/composer.md) - [Compress-LSTM (4.6M)](https://genailist.net/model/samsung-r-d-institute-russia/compress-lstm-4-6m.md) - [Compress-LSTM (66M)](https://genailist.net/model/samsung-r-d-institute-russia/compress-lstm-66m.md) - [Computer-Using Agent (CUA)](https://genailist.net/model/openai/computer-using-agent-cua.md) - [ConSERT](https://genailist.net/model/meituan-university/consert.md) - [Conditional Maximum Entropy Model (Gigaworld)](https://genailist.net/model/google/conditional-maximum-entropy-model-gigaworld.md) - [Conditional probability machines](https://genailist.net/model/unknown/conditional-probability-machines.md) - [ConfRank](https://genailist.net/model/university-of-bonn/confrank.md) - [Conformer](https://genailist.net/model/google/conformer.md) - [Conformer + Wav2vec 2.0 + Noisy Student](https://genailist.net/model/google/conformer-wav2vec-2-0-noisy-student.md) - [CongRong (从容大模型)](https://genailist.net/model/cloudwalk-technology/congrong.md) - [ConoDL](https://genailist.net/model/chongqing-university/conodl.md) - [Consistency Decoder](https://genailist.net/model/openai/consistency-decoder.md) - [Consistency Model (CIFAR-10)](https://genailist.net/model/openai/consistency-model-cifar-10.md) - [Context-dependent RNN](https://genailist.net/model/microsoft-research/context-dependent-rnn.md) - [ContextNet](https://genailist.net/model/google/contextnet.md) - [ContextNet + Noisy Student](https://genailist.net/model/google/contextnet-noisy-student.md) - [Contriever](https://genailist.net/model/meta-ai/contriever.md) - [ControlNet](https://genailist.net/model/stanford-university/controlnet.md) - [ControlNet (SD 3.5 Large) Blur](https://genailist.net/model/stability-ai/controlnet-sd-3-5-large-blur.md) - [ControlNet (SD 3.5 Large) Canny](https://genailist.net/model/stability-ai/controlnet-sd-3-5-large-canny.md) - [ControlNet (SD 3.5 Large) Depth](https://genailist.net/model/stability-ai/controlnet-sd-3-5-large-depth.md) - [ControlNet (SDv2)](https://genailist.net/model/stability-ai/controlnet-sdv2.md) - [Conv-DBN](https://genailist.net/model/stanford-university/conv-dbn.md) - [ConvNet Processor](https://genailist.net/model/courant-institute-of-mathematical-sciences/convnet-processor.md) - [ConvS2S (ensemble of 8 models)](https://genailist.net/model/meta-ai/convs2s-ensemble-of-8-models.md) - [Convolutional Pose Machines](https://genailist.net/model/carnegie-mellon-university-cmu/convolutional-pose-machines.md) - [Cosine Genie](https://genailist.net/model/cosine/cosine-genie.md) - [Cosmos 3 Edge](https://genailist.net/model/nvidia/cosmos-3-edge.md) - [Cosmos-Predict1-14b-Video2World](https://genailist.net/model/nvidia/cosmos-predict1-14b-video2world.md) - [Cosmos-Predict1-7b-Video2World](https://genailist.net/model/nvidia/cosmos-predict1-7b-video2world.md) - [Cosmos-Predict2-14B-Text2Image](https://genailist.net/model/nvidia/cosmos-predict2-14b-text2image.md) - [Cosmos-Predict2-14B-Video2World](https://genailist.net/model/nvidia/cosmos-predict2-14b-video2world.md) - [Cosmos-Predict2-2B-Text2Image](https://genailist.net/model/nvidia/cosmos-predict2-2b-text2image-1.md) - [Cosmos-Predict2-2B-Text2Image](https://genailist.net/model/nvidia/cosmos-predict2-2b-text2image.md) - [Cosmos-Predict2-2B-Video2World](https://genailist.net/model/nvidia/cosmos-predict2-2b-video2world.md) - [Cosmos-Predict2.5 2B](https://genailist.net/model/nvidia/cosmos-predict2-5-2b.md) - [Cosmos-Predict2.5-14B](https://genailist.net/model/nvidia/cosmos-predict2-5-14b.md) - [Cosmos-Reason1 56B](https://genailist.net/model/nvidia/cosmos-reason1-56b.md) - [Cosmos-Reason1 7B](https://genailist.net/model/nvidia/cosmos-reason1-7b.md) - [Cosmos-Transfer1-7B](https://genailist.net/model/nvidia/cosmos-transfer1-7b.md) - [Cosmos-Transfer2.5-2B](https://genailist.net/model/nvidia/cosmos-transfer2-5-2b.md) - [Cosmos3 Super Image2Video 4Step](https://genailist.net/model/nvidia/cosmos3-super-image2video-4step.md) - [Crazy Stone](https://genailist.net/model/inria/crazy-stone.md) - [Credibilty Network](https://genailist.net/model/university-college-london-ucl/credibilty-network.md) - [CrisperWhisper 2.0](https://genailist.net/model/nyralabs/crisperwhisper-2-0.md) - [CriticGPT](https://genailist.net/model/openai/criticgpt.md) - [Cross-Lingual POS Tagger](https://genailist.net/model/carnegie-mellon-university-cmu/cross-lingual-pos-tagger.md) - [Cross-lingual alignment](https://genailist.net/model/tel-aviv-university/cross-lingual-alignment.md) - [CrossBind](https://genailist.net/model/shanghai-ai-lab/crossbind.md) - [CryoChains](https://genailist.net/model/university-of-california-santa-barbara-ucsb/cryochains.md) - [CryoDRGN](https://genailist.net/model/massachusetts-institute-of-technology-mit/cryodrgn.md) - [CryptoGRU](https://genailist.net/model/indiana-university-bloomington/cryptogru.md) - [Cube-Space AutoEncoder](https://genailist.net/model/mit-ibm-watson-ai-lab/cube-space-autoencoder.md) - [CubePart](https://genailist.net/model/roblox/cubepart.md) - [Culturome](https://genailist.net/model/unknown/culturome.md) - [Cutout-regularized net](https://genailist.net/model/university-of-guelph/cutout-regularized-net.md) - [Cygnet](https://genailist.net/model/gray-swan/cygnet.md) - [D-LSRC(100)+KN5 (PTB)](https://genailist.net/model/saarland-university/d-lsrc-100-kn5-ptb.md) - [DAC-CSR](https://genailist.net/model/jiangnan-university/dac-csr.md) - [DALL-E](https://genailist.net/model/openai/dall-e.md) - [DALL-E mega](https://genailist.net/model/craiyon/dall-e-mega.md) - [DALL-E mini](https://genailist.net/model/craiyon/dall-e-mini.md) - [DALL·E 2](https://genailist.net/model/openai/dall-e-2.md) - [DALL·E 3](https://genailist.net/model/openai/dall-e-3.md) - [DANet](https://genailist.net/model/chinese-academy-of-sciences/danet.md) - [DARK](https://genailist.net/model/university-college-london-ucl/dark.md) - [DARTS](https://genailist.net/model/deepmind/darts.md) - [DARTS (second order) (PTB)](https://genailist.net/model/carnegie-mellon-university-cmu/darts-second-order-ptb.md) - [DBRX](https://genailist.net/model/databricks/dbrx.md) - [DCLM 7B](https://genailist.net/model/apple/dclm-7b.md) - [DCN+](https://genailist.net/model/salesforce-research/dcn.md) - [DCNN](https://genailist.net/model/university-of-maryland/dcnn.md) - [DCTransformer (ImageNet)](https://genailist.net/model/deepmind/dctransformer-imagenet.md) - [DD-PPO](https://genailist.net/model/georgia-institute-of-technology/dd-ppo.md) - [DDGemb](https://genailist.net/model/university-of-bologna/ddgemb.md) - [DDIM](https://genailist.net/model/university-paris-saclay/ddim.md) - [DDPM](https://genailist.net/model/university-paris-saclay/ddpm.md) - [DDPM-IP (CelebA)](https://genailist.net/model/utrecht-university/ddpm-ip-celeba.md) - [DEQ-Transformer (Medium, Adaptive Embedding)](https://genailist.net/model/carnegie-mellon-university-cmu/deq-transformer-medium-adaptive-embedding.md) - [DEQ-Transformer (Post-LN) + Jacobian Regularisation](https://genailist.net/model/carnegie-mellon-university-cmu/deq-transformer-post-ln-jacobian-regularisation.md) - [DEQ-TrellisNet (PTB)](https://genailist.net/model/carnegie-mellon-university-cmu/deq-trellisnet-ptb.md) - [DEQ-TrellisNet (WT-103)](https://genailist.net/model/carnegie-mellon-university-cmu/deq-trellisnet-wt-103.md) - [DETR](https://genailist.net/model/facebook/detr.md) - [DFMDock](https://genailist.net/model/johns-hopkins-university/dfmdock.md) - [DINOv2](https://genailist.net/model/facebook-ai-research/dinov2.md) - [DISTRO](https://genailist.net/model/nous-research/distro.md) - [DITTO](https://genailist.net/model/tsinghua-university/ditto.md) - [DL scaling Image](https://genailist.net/model/baidu/dl-scaling-image.md) - [DL scaling LM](https://genailist.net/model/baidu/dl-scaling-lm.md) - [DL scaling speech](https://genailist.net/model/baidu/dl-scaling-speech.md) - [DLDL (PASCAL)](https://genailist.net/model/university-of-oxford/dldl-pascal.md) - [DLRM-12T](https://genailist.net/model/meta-ai/dlrm-12t.md) - [DLRM-2020](https://genailist.net/model/facebook-ai/dlrm-2020.md) - [DLRM-2021](https://genailist.net/model/meta-ai/dlrm-2021.md) - [DLRM-2022](https://genailist.net/model/facebook/dlrm-2022.md) - [DLWP](https://genailist.net/model/university-of-washington/dlwp.md) - [DMN](https://genailist.net/model/salesforce/dmn.md) - [DMPFold](https://genailist.net/model/university-college-london-ucl/dmpfold.md) - [DMind-1](https://genailist.net/model/unknown/dmind-1.md) - [DNA Fine-Tuned Language Model (DFLM)](https://genailist.net/model/tongji-university/dna-fine-tuned-language-model-dflm.md) - [DNABERT](https://genailist.net/model/northeastern-university/dnabert.md) - [DNCON2](https://genailist.net/model/university-of-missouri/dncon2.md) - [DNN EM segmentation](https://genailist.net/model/idsia/dnn-em-segmentation.md) - [DOC + Finetune∗ + Partial Shuffle (PTB)](https://genailist.net/model/university-of-washington/doc-finetune-partial-shuffle-ptb.md) - [DPO on Pythia-2.8B](https://genailist.net/model/stanford-university/dpo-on-pythia-2-8b.md) - [DQN](https://genailist.net/model/deepmind/dqn.md) - [DRGN-AI](https://genailist.net/model/stanford-university/drgn-ai.md) - [DTI-LM](https://genailist.net/model/university-of-central-florida/dti-lm.md) - [DTN (Domain Transfer Network)](https://genailist.net/model/facebook-ai-research/dtn-domain-transfer-network.md) - [DanteLLM 7B](https://genailist.net/model/rstless-research/dantellm-7b.md) - [DataGemma](https://genailist.net/model/google/datagemma.md) - [DataRater test model (1B)](https://genailist.net/model/google-deepmind/datarater-test-model-1b.md) - [DeBERTa](https://genailist.net/model/microsoft/deberta.md) - [DeBERTaV3large](https://genailist.net/model/microsoft-research/debertav3large.md) - [DeBERTaV3large + KEAR](https://genailist.net/model/microsoft/debertav3large-kear.md) - [DeLighT](https://genailist.net/model/university-of-washington/delight.md) - [DeViSE](https://genailist.net/model/google/devise.md) - [Decaying Fast Weights Transformer (WT-103)](https://genailist.net/model/jenni/decaying-fast-weights-transformer-wt-103.md) - [DeciCoder-1B](https://genailist.net/model/deci-ai/decicoder-1b.md) - [DeciCoder-6B](https://genailist.net/model/deci-ai/decicoder-6b.md) - [DeciLM 6B](https://genailist.net/model/deci-ai/decilm-6b.md) - [Decision tree (classification)](https://genailist.net/model/mitsubishi-electric-research-labs/decision-tree-classification.md) - [Decision tree adaline](https://genailist.net/model/tokyo-medical-and-dental-university/decision-tree-adaline.md) - [DecompDiff](https://genailist.net/model/university-of-illinois-urbana-champaign-uiuc/decompdiff.md) - [Deconvolutional Network](https://genailist.net/model/new-york-university-nyu/deconvolutional-network.md) - [Decoupled weight decay regularization](https://genailist.net/model/university-of-freiburg/decoupled-weight-decay-regularization.md) - [Deep Autoencoders](https://genailist.net/model/university-of-toronto/deep-autoencoders.md) - [Deep Blue](https://genailist.net/model/ibm/deep-blue.md) - [Deep Boltzmann Machines](https://genailist.net/model/university-of-toronto/deep-boltzmann-machines.md) - [Deep CNN + COTS](https://genailist.net/model/ieee/deep-cnn-cots.md) - [Deep Deterministic Policy Gradients](https://genailist.net/model/google-deepmind/deep-deterministic-policy-gradients.md) - [Deep LSTM video classifier](https://genailist.net/model/university-of-texas-at-austin/deep-lstm-video-classifier.md) - [Deep Learning Enabled Discovery of Kinase Drug Targets in Pharos](https://genailist.net/model/west-virginia-university/deep-learning-enabled-discovery-of-kinase-drug-targets-in-pharos.md) - [Deep Multitask NLP Network](https://genailist.net/model/nec-laboratories/deep-multitask-nlp-network.md) - [Deep RNN (PTB)](https://genailist.net/model/metamind-inc/deep-rnn-ptb.md) - [Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage](https://genailist.net/model/sun-yat-sen-university/deep-learning-linking-mechanistic-models-to-single-cell-transcriptomics-data-reveals-transcriptional-bursting-in-response-to-dna-damage.md) - [Deep rectifier networks](https://genailist.net/model/university-of-montreal-universit-de-montr-al/deep-rectifier-networks.md) - [Deep-LDA](https://genailist.net/model/fudan-university/deep-lda.md) - [DeepConPred2](https://genailist.net/model/tsinghua-university/deepconpred2.md) - [DeepFRI](https://genailist.net/model/flatiron-institute/deepfri.md) - [DeepFace](https://genailist.net/model/tel-aviv-university/deepface.md) - [DeepHermes 3 - Mistral 24B](https://genailist.net/model/nous-research/deephermes-3-mistral-24b.md) - [DeepL LLM](https://genailist.net/model/deepl/deepl-llm.md) - [DeepLab](https://genailist.net/model/google/deeplab.md) - [DeepLab (2017)](https://genailist.net/model/johns-hopkins-university/deeplab-2017.md) - [DeepLabV3](https://genailist.net/model/google/deeplabv3-1.md) - [DeepLabV3+](https://genailist.net/model/google/deeplabv3.md) - [DeepLoc](https://genailist.net/model/technical-university-of-denmark/deeploc.md) - [DeepNash](https://genailist.net/model/deepmind/deepnash.md) - [DeepNet](https://genailist.net/model/microsoft-research/deepnet.md) - [DeepREAD](https://genailist.net/model/shape-therapeutics/deepread.md) - [DeepRelax](https://genailist.net/model/national-university-of-singapore/deeprelax.md) - [DeepSA](https://genailist.net/model/shanghaitech-university/deepsa.md) - [DeepSeek Coder 1.3B](https://genailist.net/model/deepseek/deepseek-coder-1-3b.md) - [DeepSeek Coder 33B](https://genailist.net/model/deepseek/deepseek-coder-33b.md) - [DeepSeek Coder 6.7B](https://genailist.net/model/deepseek/deepseek-coder-6-7b.md) - [DeepSeek LLM 67B](https://genailist.net/model/deepseek/deepseek-llm-67b.md) - [DeepSeek LLM 7B](https://genailist.net/model/deepseek/deepseek-llm-7b.md) - [DeepSeek V4 Flash 0731](https://genailist.net/model/deepseek/deepseek-v4-flash-0731.md) - [DeepSeek V4-Flash](https://genailist.net/model/deepseek/deepseek-v4-flash.md) - [DeepSeek V4-Pro](https://genailist.net/model/deepseek/deepseek-v4-pro.md) - [DeepSeek-Coder-V2 236B](https://genailist.net/model/deepseek/deepseek-coder-v2-236b.md) - [DeepSeek-LLM-1.3b-base](https://genailist.net/model/deepseek/deepseek-llm-1-3b-base.md) - [DeepSeek-Prover-V1.5](https://genailist.net/model/deepseek/deepseek-prover-v1-5.md) - [DeepSeek-Prover-V2-671B](https://genailist.net/model/deepseek/deepseek-prover-v2-671b.md) - [DeepSeek-Prover-V2-7B](https://genailist.net/model/deepseek/deepseek-prover-v2-7b.md) - [DeepSeek-R1](https://genailist.net/model/deepseek/deepseek-r1.md) - [DeepSeek-R1 (May 2025)](https://genailist.net/model/deepseek/deepseek-r1-may-2025.md) - [DeepSeek-R1-0528](https://genailist.net/model/deepseek/deepseek-r1-0528.md) - [DeepSeek-R1-Distill-Llama-70B](https://genailist.net/model/deepseek/deepseek-r1-distill-llama-70b.md) - [DeepSeek-R1-Distill-Llama-8B](https://genailist.net/model/deepseek/deepseek-r1-distill-llama-8b.md) - [DeepSeek-R1-Distill-Qwen-1.5B](https://genailist.net/model/qwen/deepseek-r1-distill-qwen-1-5b.md) - [DeepSeek-R1-Distill-Qwen-1.5B](https://genailist.net/model/deepseek/deepseek-r1-distill-qwen-1-5b.md) - [DeepSeek-R1-Distill-Qwen-14B](https://genailist.net/model/qwen/deepseek-r1-distill-qwen-14b.md) - [DeepSeek-R1-Distill-Qwen-14B](https://genailist.net/model/deepseek/deepseek-r1-distill-qwen-14b.md) - [DeepSeek-R1-Distill-Qwen-32B](https://genailist.net/model/deepseek/deepseek-r1-distill-qwen-32b.md) - [DeepSeek-R1-Distill-Qwen-32B](https://genailist.net/model/qwen/deepseek-r1-distill-qwen-32b.md) - [DeepSeek-R1-Distill-Qwen-7B](https://genailist.net/model/qwen/deepseek-r1-distill-qwen-7b.md) - [DeepSeek-R1-Distill-Qwen-7B](https://genailist.net/model/deepseek/deepseek-r1-distill-qwen-7b.md) - [DeepSeek-R1-Lite-Preview](https://genailist.net/model/deepseek/deepseek-r1-lite-preview.md) - [DeepSeek-R1-Zero](https://genailist.net/model/deepseek/deepseek-r1-zero.md) - [DeepSeek-V2 (MoE-236B)](https://genailist.net/model/deepseek/deepseek-v2-moe-236b.md) - [DeepSeek-V2.5](https://genailist.net/model/deepseek/deepseek-v2-5.md) - [DeepSeek-V3](https://genailist.net/model/deepseek/deepseek-v3.md) - [DeepSeek-V3-0324](https://genailist.net/model/deepseek/deepseek-v3-0324.md) - [DeepSeek-V3.1](https://genailist.net/model/deepseek/deepseek-v3-1.md) - [DeepSeek-V3.1-Terminus](https://genailist.net/model/deepseek/deepseek-v3-1-terminus.md) - [DeepSeek-V3.2](https://genailist.net/model/deepseek/deepseek-v3-2.md) - [DeepSeek-V3.2-Exp](https://genailist.net/model/deepseek/deepseek-v3-2-exp.md) - [DeepSeek-V3.2-Speciale](https://genailist.net/model/deepseek/deepseek-v3-2-speciale.md) - [DeepSeek-V4-Flash-0731](https://genailist.net/model/deepseek/deepseek-v4-flash-0731-1.md) - [DeepSeek-VL-1.3B](https://genailist.net/model/deepseek/deepseek-vl-1-3b.md) - [DeepSeek-VL-7B](https://genailist.net/model/deepseek/deepseek-vl-7b.md) - [DeepSeekMath 7B](https://genailist.net/model/deepseek/deepseekmath-7b.md) - [DeepSeekMoE-16B](https://genailist.net/model/deepseek/deepseekmoe-16b.md) - [DeepSpeech2 (English)](https://genailist.net/model/baidu-research-silicon-valley-ai-lab/deepspeech2-english.md) - [DeepStack](https://genailist.net/model/university-of-alberta/deepstack.md) - [DeepThought-8B](https://genailist.net/model/ruliad/deepthought-8b.md) - [DeepUrfold](https://genailist.net/model/university-of-virginia/deepurfold.md) - [Deepgram Flux Multilingual](https://genailist.net/model/deepgram/deepgram-flux-multilingual.md) - [Deephermes 3 Llama 3 8B Preview](https://genailist.net/model/nous-research/deephermes-3-llama-3-8b-preview.md) - [Deeply-recursive ConvNet](https://genailist.net/model/seoul-national-university/deeply-recursive-convnet.md) - [Deepseek OCR](https://genailist.net/model/deepseek/deepseek-ocr.md) - [DeiT-B](https://genailist.net/model/meta-ai/deit-b.md) - [Delphi](https://genailist.net/model/allen-institute-for-ai/delphi.md) - [Delta RNN (+ full context)](https://genailist.net/model/idsia/delta-rnn-full-context.md) - [Demist-2](https://genailist.net/model/darktrace/demist-2.md) - [Demostart (in progress)](https://genailist.net/model/google-deepmind/demostart-in-progress.md) - [Denoising Autoencoders](https://genailist.net/model/university-of-montreal-universit-de-montr-al/denoising-autoencoders.md) - [Denoising Diffusion Probabilistic Models (LSUN Bedroom)](https://genailist.net/model/university-of-california-uc-berkeley/denoising-diffusion-probabilistic-models-lsun-bedroom.md) - [DenseNet-264](https://genailist.net/model/tsinghua-university/densenet-264.md) - [DenseNet201](https://genailist.net/model/tsinghua-university/densenet201.md) - [DensePhrases](https://genailist.net/model/korea-university/densephrases.md) - [Densely Connected LSTM + Var. Dropout](https://genailist.net/model/ghent-university/densely-connected-lstm-var-dropout.md) - [Depth Anything V2 Giant](https://genailist.net/model/tik-tok/depth-anything-v2-giant.md) - [Depth Anything V2 Large](https://genailist.net/model/tik-tok/depth-anything-v2-large.md) - [Derm Foundational Model](https://genailist.net/model/google-research/derm-foundational-model.md) - [Detic](https://genailist.net/model/meta-ai/detic.md) - [Devstral 2](https://genailist.net/model/mistral-ai/devstral-2.md) - [Devstral Medium](https://genailist.net/model/mistral-ai/devstral-medium.md) - [Devstral Medium 1.0](https://genailist.net/model/mistral-ai/devstral-medium-1-0.md) - [Devstral Small](https://genailist.net/model/mistral-ai/devstral-small.md) - [Devstral Small 1.1](https://genailist.net/model/mistral-ai/devstral-small-1-1.md) - [Devstral Small 2](https://genailist.net/model/mistral-ai/devstral-small-2.md) - [Dexterous In-Hand Manipulation [control policy\]](https://genailist.net/model/openai/dexterous-in-hand-manipulation-control-policy.md) - [DiLoCoX (Qwen1.5-107B on WT-103)](https://genailist.net/model/china-mobile/dilocox-qwen1-5-107b-on-wt-103.md) - [DiLoCoX (Qwen1.5-107B on WT-103)](https://genailist.net/model/qwen/dilocox-qwen1-5-107b-on-wt-103.md) - [DiT-XL/2](https://genailist.net/model/new-york-university-nyu/dit-xl-2.md) - [DiT-XL/2 + CADS](https://genailist.net/model/eth-zurich/dit-xl-2-cads.md) - [DiT-XL/2 + Discriminator Guidance](https://genailist.net/model/korea-advanced-institute-of-science-and-technology-kaist/dit-xl-2-discriminator-guidance.md) - [Diabetic Retinopathy Detection Net](https://genailist.net/model/ut-austin/diabetic-retinopathy-detection-net.md) - [Diamond](https://genailist.net/model/university-of-geneva/diamond.md) - [DiffBindFR](https://genailist.net/model/peking-university/diffbindfr.md) - [DiffDock](https://genailist.net/model/massachusetts-institute-of-technology-mit/diffdock.md) - [DiffDock-PP](https://genailist.net/model/technical-university-of-munich/diffdock-pp.md) - [DiffForce](https://genailist.net/model/university-of-cambridge/diffforce.md) - [DiffPALM](https://genailist.net/model/ecole-polytechnique-f-ed-erale-de-lausanne-epfl/diffpalm.md) - [DiffPepBuilder](https://genailist.net/model/peking-university/diffpepbuilder.md) - [DiffQ Transformer (16L)](https://genailist.net/model/meta-ai/diffq-transformer-16l.md) - [DiffSBDD (CrossDocked)](https://genailist.net/model/ecole-polytechnique-f-ed-erale-de-lausanne-epfl/diffsbdd-crossdocked.md) - [DiffStk-MRNN](https://genailist.net/model/pennsylvania-state-university/diffstk-mrnn.md) - [Differentiable neural computer](https://genailist.net/model/google-deepmind/differentiable-neural-computer.md) - [Diffractive Deep Neural Network](https://genailist.net/model/university-of-california-los-angeles-ucla/diffractive-deep-neural-network.md) - [Diffusion Renderer](https://genailist.net/model/nvidia/diffusion-renderer.md) - [Diffusion-GAN](https://genailist.net/model/ut-austin/diffusion-gan.md) - [DiffusionGemma 26B-A4B](https://genailist.net/model/google-deepmind/diffusiongemma-26b-a4b.md) - [Difix3D+](https://genailist.net/model/nvidia/difix3d.md) - [Digest: Cyber AI Analyst](https://genailist.net/model/darktrace/digest-cyber-ai-analyst.md) - [DigiRL](https://genailist.net/model/university-of-california-uc-berkeley/digirl.md) - [Digivio (迪智伟奥DIGIVIO)](https://genailist.net/model/shanghai-digivio-information-technology-co/digivio-digivio.md) - [Diplodocus](https://genailist.net/model/meta-ai/diplodocus.md) - [DiscDiff](https://genailist.net/model/imperial-college-london/discdiff.md) - [Discriminator Guidance](https://genailist.net/model/korea-advanced-institute-of-science-and-technology-kaist/discriminator-guidance.md) - [Discriminator-tuned LSTM](https://genailist.net/model/samsung-r-d-institute-russia/discriminator-tuned-lstm.md) - [DistBelief NNLM](https://genailist.net/model/google/distbelief-nnlm.md) - [DistBelief Speech](https://genailist.net/model/google/distbelief-speech.md) - [DistBelief Vision](https://genailist.net/model/google/distbelief-vision.md) - [DistilBERT](https://genailist.net/model/hugging-face/distilbert.md) - [DistilProtBert](https://genailist.net/model/bar-ilan-university/distilprotbert.md) - [Distilled Grandmaster](https://genailist.net/model/deepmind/distilled-grandmaster.md) - [Distributed representation NN](https://genailist.net/model/carnegie-mellon-university-cmu/distributed-representation-nn.md) - [DnCNN](https://genailist.net/model/harbin-institute-of-technology/dncnn.md) - [DoMINO](https://genailist.net/model/nvidia/domino.md) - [Dolly 2.0-12b](https://genailist.net/model/databricks/dolly-2-0-12b.md) - [DolphinGemma](https://genailist.net/model/google-deepmind/dolphingemma.md) - [Domyn Large](https://genailist.net/model/domyn/domyn-large.md) - [Domyn Small](https://genailist.net/model/domyn/domyn-small.md) - [Dou Bao](https://genailist.net/model/bytedance/dou-bao.md) - [Doubao Function Call Model](https://genailist.net/model/bytedance/doubao-function-call-model.md) - [Doubao Image-to-Image generation model](https://genailist.net/model/bytedance/doubao-image-to-image-generation-model.md) - [Doubao Real-Time translation model](https://genailist.net/model/bytedance/doubao-real-time-translation-model.md) - [Doubao Role-Playing Model](https://genailist.net/model/bytedance/doubao-role-playing-model.md) - [Doubao Seed 2.1](https://genailist.net/model/bytedance/doubao-seed-2-1.md) - [Doubao Speech Recognition Model](https://genailist.net/model/bytedance/doubao-speech-recognition-model.md) - [Doubao Text-to-Image Model](https://genailist.net/model/bytedance/doubao-text-to-image-model.md) - [Doubao Text-to-Speech Model](https://genailist.net/model/bytedance/doubao-text-to-speech-model.md) - [Doubao Vectorization Model](https://genailist.net/model/bytedance/doubao-vectorization-model.md) - [Doubao Video Generation model](https://genailist.net/model/bytedance/doubao-video-generation-model.md) - [Doubao Voice Cloning Model](https://genailist.net/model/bytedance/doubao-voice-cloning-model.md) - [Doubao-1.5-pro](https://genailist.net/model/bytedance/doubao-1-5-pro.md) - [Doubao-lite](https://genailist.net/model/bytedance/doubao-lite.md) - [Doubao-pro](https://genailist.net/model/bytedance/doubao-pro.md) - [Double DQN](https://genailist.net/model/google-deepmind/double-dqn.md) - [Drahim PFM AI](https://genailist.net/model/drahim/drahim-pfm-ai.md) - [Draw](https://genailist.net/model/google-deepmind/draw.md) - [Dream Diary (造梦日记)](https://genailist.net/model/west-lake-xinchen-xinchen-ai/dream-diary.md) - [Dream Home LLM (贝壳梦想家大模型)](https://genailist.net/model/ke-holdings-inc-beike/dream-home-llm.md) - [DreamLLM](https://genailist.net/model/xi-an-jiaotong-university/dreamllm.md) - [DreamerV3](https://genailist.net/model/deepmind/dreamerv3.md) - [Dropout (CIFAR)](https://genailist.net/model/university-of-toronto/dropout-cifar.md) - [Dropout (ImageNet)](https://genailist.net/model/university-of-toronto/dropout-imagenet.md) - [Dropout (MNIST)](https://genailist.net/model/university-of-toronto/dropout-mnist.md) - [Dropout-LSTM+Noise(Bernoulli) (WT2)](https://genailist.net/model/columbia-university/dropout-lstm-noise-bernoulli-wt2.md) - [Dropout-LSTM+Noise(Bernoulli) - large(PTB)](https://genailist.net/model/columbia-university/dropout-lstm-noise-bernoulli-large-ptb.md) - [Dropout-LSTM+Noise(Laplace) - medium (WT2)](https://genailist.net/model/columbia-university/dropout-lstm-noise-laplace-medium-wt2.md) - [Dropout: SVHN](https://genailist.net/model/university-of-toronto/dropout-svhn.md) - [DrugCLIP](https://genailist.net/model/tsinghua-university/drugclip.md) - [DrugFormer](https://genailist.net/model/university-of-florida/drugformer.md) - [DrugTar](https://genailist.net/model/isfahan-university-of-technology/drugtar.md) - [DualNetGO](https://genailist.net/model/hong-kong-university-of-science-and-technology-hkust/dualnetgo.md) - [Dubbing v2](https://genailist.net/model/elevenlabs/dubbing-v2.md) - [Dueling DQN](https://genailist.net/model/google-deepmind/dueling-dqn.md) - [E2 TTS](https://genailist.net/model/microsoft/e2-tts.md) - [EDSR](https://genailist.net/model/seoul-national-university/edsr.md) - [EGNN](https://genailist.net/model/instadeep/egnn.md) - [EGRU (PTB)](https://genailist.net/model/ruhr-university-bochum/egru-ptb.md) - [EGRU (WT2)](https://genailist.net/model/ruhr-university-bochum/egru-wt2.md) - [EI-REHN-1000D](https://genailist.net/model/korea-advanced-institute-of-science-and-technology-kaist/ei-rehn-1000d.md) - [EI-REHN-1200D (PTB)](https://genailist.net/model/korea-advanced-institute-of-science-and-technology-kaist/ei-rehn-1200d-ptb.md) - [EITLEM-Kinetics](https://genailist.net/model/beijing-university-of-chemical-technology/eitlem-kinetics.md) - [ELECTRA](https://genailist.net/model/stanford-university/electra.md) - [ELIXR-B](https://genailist.net/model/google/elixr-b.md) - [ELIXR-C](https://genailist.net/model/google/elixr-c.md) - [ELMo](https://genailist.net/model/university-of-washington/elmo.md) - [EMDR](https://genailist.net/model/mila-quebec-ai-originally-montreal-institute-for-learning-algorithms/emdr.md) - [ENAS](https://genailist.net/model/google-brain/enas.md) - [EPInformer](https://genailist.net/model/the-university-of-hong-kong/epinformer.md) - [ERNIE 3.0](https://genailist.net/model/baidu/ernie-3-0.md) - [ERNIE 3.0 Titan](https://genailist.net/model/baidu/ernie-3-0-titan.md) - [ERNIE 3.5](https://genailist.net/model/baidu/ernie-3-5.md) - [ERNIE 4.0](https://genailist.net/model/baidu/ernie-4-0.md) - [ERNIE 5.1](https://genailist.net/model/baidu/ernie-5-1.md) - [ERNIE x1 (文心大模型X1)](https://genailist.net/model/baidu/ernie-x1-x1.md) - [ERNIE-4.5-0.3B](https://genailist.net/model/baidu/ernie-4-5-0-3b.md) - [ERNIE-4.5-21B-A3B](https://genailist.net/model/baidu/ernie-4-5-21b-a3b.md) - [ERNIE-4.5-300B-A47B](https://genailist.net/model/baidu/ernie-4-5-300b-a47b.md) - [ERNIE-4.5-VL-28B-A3B](https://genailist.net/model/baidu/ernie-4-5-vl-28b-a3b.md) - [ERNIE-4.5-VL-28B-A3B-Thinking](https://genailist.net/model/baidu/ernie-4-5-vl-28b-a3b-thinking.md) - [ERNIE-4.5-VL-424B-A47B (文心大模型4.5)](https://genailist.net/model/baidu/ernie-4-5-vl-424b-a47b-4-5.md) - [ERNIE-5.0-Preview-1022](https://genailist.net/model/baidu/ernie-5-0-preview-1022.md) - [ERNIE-5.0-Preview-1103](https://genailist.net/model/baidu/ernie-5-0-preview-1103.md) - [ERNIE-5.0-Preview-1120](https://genailist.net/model/baidu/ernie-5-0-preview-1120.md) - [ERNIE-5.0-Preview-1203](https://genailist.net/model/baidu/ernie-5-0-preview-1203.md) - [ERNIE-Doc (247M)](https://genailist.net/model/baidu/ernie-doc-247m.md) - [ERNIE-Doc Base (151M, WT103)](https://genailist.net/model/baidu/ernie-doc-base-151m-wt103.md) - [ERNIE-GEN (large)](https://genailist.net/model/baidu/ernie-gen-large.md) - [ERNIE-RNA](https://genailist.net/model/microsoft-research/ernie-rna.md) - [ERNIE-ViLG 2.0](https://genailist.net/model/baidu/ernie-vilg-2-0.md) - [ESM-AA](https://genailist.net/model/peking-university/esm-aa.md) - [ESM-DBP](https://genailist.net/model/hunan-university/esm-dbp.md) - [ESM-GearNet](https://genailist.net/model/mila-quebec-ai-originally-montreal-institute-for-learning-algorithms/esm-gearnet.md) - [ESM-NBR](https://genailist.net/model/hunan-university/esm-nbr.md) - [ESM1-43M](https://genailist.net/model/facebook-ai-research/esm1-43m.md) - [ESM1-670M (UR100)](https://genailist.net/model/facebook-ai-research/esm1-670m-ur100.md) - [ESM1-670M (UR50/D)](https://genailist.net/model/facebook-ai-research/esm1-670m-ur50-d.md) - [ESM1-670M (UR50/S)](https://genailist.net/model/facebook-ai-research/esm1-670m-ur50-s.md) - [ESM1-85M](https://genailist.net/model/facebook-ai-research/esm1-85m.md) - [ESM1b](https://genailist.net/model/facebook-ai-research/esm1b.md) - [ESM1v](https://genailist.net/model/facebook-ai-research/esm1v.md) - [ESM2-150M](https://genailist.net/model/meta-ai/esm2-150m.md) - [ESM2-15B](https://genailist.net/model/meta-ai/esm2-15b.md) - [ESM2-35M](https://genailist.net/model/meta-ai/esm2-35m.md) - [ESM2-3B](https://genailist.net/model/meta-ai/esm2-3b.md) - [ESM2-650M](https://genailist.net/model/meta-ai/esm2-650m.md) - [ESM2-8M](https://genailist.net/model/meta-ai/esm2-8m.md) - [ESM3 (98B)](https://genailist.net/model/evolutionaryscale/esm3-98b.md) - [ESM3-open-small](https://genailist.net/model/evolutionaryscale/esm3-open-small.md) - [ESMFlow](https://genailist.net/model/massachusetts-institute-of-technology-mit/esmflow.md) - [ESMIF-DDG](https://genailist.net/model/peptone/esmif-ddg.md) - [ESRGAN](https://genailist.net/model/chinese-university-of-hong-kong-cuhk/esrgan.md) - [ETCHR](https://genailist.net/model/shanghai-ai-laboratory/etchr.md) - [EVA-01](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/eva-01.md) - [EVA-CLIP (EVA-02-CLIP-E/14+)](https://genailist.net/model/unknown/eva-clip-eva-02-clip-e-14-1.md) - [EVA-CLIP (EVA-02-CLIP-E/14+)](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/eva-clip-eva-02-clip-e-14.md) - [EVE-Instruct 24B](https://genailist.net/model/pi-school/eve-instruct-24b.md) - [EVI](https://genailist.net/model/hume/evi.md) - [EVI 2](https://genailist.net/model/hume/evi-2.md) - [EVI 3](https://genailist.net/model/hume/evi-3.md) - [EVI 4 mini](https://genailist.net/model/hume/evi-4-mini.md) - [EXAONE 1.0](https://genailist.net/model/lg/exaone-1-0.md) - [EXAONE 2.0](https://genailist.net/model/lg-ai-research/exaone-2-0.md) - [EXAONE 3.0](https://genailist.net/model/lg-ai-research/exaone-3-0.md) - [EXAONE 3.5 2.4B](https://genailist.net/model/lg-ai-research/exaone-3-5-2-4b.md) - [EXAONE 3.5 32B](https://genailist.net/model/lg-ai-research/exaone-3-5-32b.md) - [EXAONE 3.5 7.8B](https://genailist.net/model/lg-ai-research/exaone-3-5-7-8b.md) - [EXAONE 3.5-R 2.4B](https://genailist.net/model/lg-ai-research/exaone-3-5-r-2-4b.md) - [EXAONE 3.5-R 32B](https://genailist.net/model/lg-ai-research/exaone-3-5-r-32b.md) - [EXAONE 3.5-R 7.8B](https://genailist.net/model/lg-ai-research/exaone-3-5-r-7-8b.md) - [EXAONE 4.0 (1.2B)](https://genailist.net/model/lg-ai-research/exaone-4-0-1-2b.md) - [EXAONE 4.0 (32B)](https://genailist.net/model/lg-ai-research/exaone-4-0-32b.md) - [EXAONE Deep 2.4B](https://genailist.net/model/lg-ai-research/exaone-deep-2-4b.md) - [EXAONE Deep 32B](https://genailist.net/model/lg-ai-research/exaone-deep-32b.md) - [EXAONE Deep 7.8B](https://genailist.net/model/lg-ai-research/exaone-deep-7-8b.md) - [EXAONE Path 2.0](https://genailist.net/model/lg-ai-research/exaone-path-2-0.md) - [Eagle 2](https://genailist.net/model/nvidia/eagle-2.md) - [Eagle 2.5](https://genailist.net/model/nvidia/eagle-2-5.md) - [Earth-2 (cBottle-SR)](https://genailist.net/model/nvidia/earth-2-cbottle-sr.md) - [EfficientNet-B1](https://genailist.net/model/google/efficientnet-b1.md) - [EfficientNetV2-XL](https://genailist.net/model/google/efficientnetv2-xl.md) - [EfficientZero](https://genailist.net/model/tsinghua-university/efficientzero.md) - [EigenFold](https://genailist.net/model/massachusetts-institute-of-technology-mit/eigenfold.md) - [Elastic weight consolidation](https://genailist.net/model/deepmind/elastic-weight-consolidation.md) - [Eleven Flash v2.5](https://genailist.net/model/elevenlabs/eleven-flash-v2-5.md) - [Eleven Monolingual v1](https://genailist.net/model/elevenlabs/eleven-monolingual-v1.md) - [Eleven Multilingual v1](https://genailist.net/model/elevenlabs/eleven-multilingual-v1.md) - [Eleven Multilingual v2](https://genailist.net/model/elevenlabs/eleven-multilingual-v2.md) - [Eleven Scribe](https://genailist.net/model/elevenlabs/eleven-scribe.md) - [Eleven Turbo v2.5](https://genailist.net/model/elevenlabs/eleven-turbo-v2-5.md) - [Eleven v3](https://genailist.net/model/elevenlabs/eleven-v3.md) - [Eleven v3 GA](https://genailist.net/model/elevenlabs/eleven-v3-ga.md) - [Elyza](https://genailist.net/model/elyza/elyza.md) - [Embed 4](https://genailist.net/model/cohere/embed-4.md) - [EmbeddingGemma](https://genailist.net/model/google-deepmind/embeddinggemma.md) - [Empirical evaluation of deep architectures](https://genailist.net/model/university-of-montreal-universit-de-montr-al/empirical-evaluation-of-deep-architectures.md) - [Emu (Meta)](https://genailist.net/model/meta-ai/emu-meta.md) - [Emu1 (BAAI)](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/emu1-baai.md) - [Emu2](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/emu2.md) - [Emu3](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/emu3.md) - [Emu3.5](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/emu3-5.md) - [EnCodec](https://genailist.net/model/meta-ai/encodec.md) - [EnOpt](https://genailist.net/model/university-of-pittsburgh/enopt.md) - [EngGPT2 16B-A3B](https://genailist.net/model/engineering-ingegneria-informatica/enggpt2-16b-a3b.md) - [Engine-Base (NE)](https://genailist.net/model/boston-university/engine-base-ne.md) - [Engine-Medium(NE)](https://genailist.net/model/boston-university/engine-medium-ne.md) - [EnhanceNet](https://genailist.net/model/max-planck-institute-for-intelligent-systems/enhancenet.md) - [Enhanced Neighborhood-Based Filtering](https://genailist.net/model/at-t/enhanced-neighborhood-based-filtering.md) - [EnzymeFlow](https://genailist.net/model/mcgill-university/enzymeflow.md) - [EpiScan](https://genailist.net/model/sun-yat-sen-university/episcan.md) - [EquiDock](https://genailist.net/model/massachusetts-institute-of-technology-mit/equidock.md) - [Ernie 4.0 Turbo](https://genailist.net/model/baidu/ernie-4-0-turbo.md) - [Error Propagation](https://genailist.net/model/university-of-california-san-diego/error-propagation.md) - [Euler (Euler大模型)](https://genailist.net/model/unknown/euler-euler.md) - [Eurus-2-7B-PRIME](https://genailist.net/model/tsinghua-university/eurus-2-7b-prime.md) - [Eve](https://genailist.net/model/harvard-medical-school/eve.md) - [Evo](https://genailist.net/model/stanford-university/evo.md) - [Evo 2 40B](https://genailist.net/model/arc-institute/evo-2-40b.md) - [Evo 2 7B](https://genailist.net/model/arc-institute/evo-2-7b.md) - [EvoBind2](https://genailist.net/model/stockholm-university/evobind2.md) - [EvoMIL](https://genailist.net/model/university-of-glasgow/evomil.md) - [EvolMPNN](https://genailist.net/model/aarhus-university/evolmpnn.md) - [ExSelfRL](https://genailist.net/model/soochow-university/exselfrl.md) - [F5-TTS](https://genailist.net/model/shanghai-jiao-tong-university/f5-tts.md) - [FABind](https://genailist.net/model/renmin-university-of-china/fabind.md) - [FAIRSEQ Adaptive Inputs](https://genailist.net/model/facebook-ai-research/fairseq-adaptive-inputs.md) - [FAMA Medium](https://genailist.net/model/fondazione-bruno-kessler/fama-medium.md) - [FASHN v1.5](https://genailist.net/model/fashn-ai/fashn-v1-5.md) - [FAST](https://genailist.net/model/university-of-cambridge/fast.md) - [FFN SwiGLU](https://genailist.net/model/google/ffn-swiglu.md) - [FGN](https://genailist.net/model/google-deepmind/fgn.md) - [FLAN 137B](https://genailist.net/model/google-research/flan-137b.md) - [FLM-101B](https://genailist.net/model/chinese-academy-of-sciences/flm-101b.md) - [FLUX 3](https://genailist.net/model/black-forest-labs/flux-3.md) - [FLUX.1 Kontext [dev\]](https://genailist.net/model/black-forest-labs/flux-1-kontext-dev.md) - [FLUX.1 Kontext [max\]](https://genailist.net/model/black-forest-labs/flux-1-kontext-max.md) - [FLUX.1 Kontext [pro\]](https://genailist.net/model/black-forest-labs/flux-1-kontext-pro.md) - [FLUX1.1 [pro\] Raw](https://genailist.net/model/black-forest-labs/flux1-1-pro-raw.md) - [FLUX1.1 [pro\] Ultra](https://genailist.net/model/black-forest-labs/flux1-1-pro-ultra.md) - [FMMformer (2-kernel fast weight + Band20)](https://genailist.net/model/university-of-california-los-angeles-ucla/fmmformer-2-kernel-fast-weight-band20.md) - [FRED-T5-XL](https://genailist.net/model/sber/fred-t5-xl.md) - [FTW (For The Win)](https://genailist.net/model/deepmind/ftw-for-the-win.md) - [FaXin](https://genailist.net/model/unknown/faxin.md) - [Fabric 1.0](https://genailist.net/model/veed/fabric-1-0.md) - [Fairseq + UID: variance](https://genailist.net/model/google-ai/fairseq-uid-variance.md) - [Fairseq-dense 13B](https://genailist.net/model/meta-ai/fairseq-dense-13b.md) - [Falcon 2 11B](https://genailist.net/model/technology-innovation-institute/falcon-2-11b.md) - [Falcon Mamba](https://genailist.net/model/technology-innovation-institute/falcon-mamba.md) - [Falcon Perception](https://genailist.net/model/technology-innovation-institute/falcon-perception.md) - [Falcon-180B](https://genailist.net/model/technology-innovation-institute/falcon-180b.md) - [Falcon-40B](https://genailist.net/model/technology-innovation-institute/falcon-40b.md) - [Falcon-7B](https://genailist.net/model/technology-innovation-institute/falcon-7b.md) - [Falcon-Arabic](https://genailist.net/model/technology-innovation-institute/falcon-arabic.md) - [Falcon-H1](https://genailist.net/model/technology-innovation-institute/falcon-h1.md) - [Falcon-OCR](https://genailist.net/model/technology-innovation-institute/falcon-ocr.md) - [Falcon3-7B](https://genailist.net/model/technology-innovation-institute/falcon3-7b.md) - [Fast R-CNN](https://genailist.net/model/microsoft-research/fast-r-cnn.md) - [FastSpeech](https://genailist.net/model/zhejiang-university-zju/fastspeech.md) - [FastSpeech 2](https://genailist.net/model/zhejiang-university-zju/fastspeech-2.md) - [Faster R-CNN](https://genailist.net/model/microsoft-research/faster-r-cnn.md) - [FastwebMIIA 7B](https://genailist.net/model/fastweb/fastweb-miia-7b.md) - [FastwebMIIA 7B (2026)](https://genailist.net/model/fastweb/fastweb-miia-7b-2026.md) - [Fauno](https://genailist.net/model/sapienza-nlp/fauno.md) - [Feedback Transformer](https://genailist.net/model/loria/feedback-transformer.md) - [Feedforward NN](https://genailist.net/model/university-of-montreal-universit-de-montr-al/feedforward-nn.md) - [Ferret (13B)](https://genailist.net/model/columbia-university/ferret-13b.md) - [FinGPT-13B](https://genailist.net/model/university-of-california-los-angeles-ucla/fingpt-13b.md) - [Fine-tuned-AWD-LSTM-DOC (fin)](https://genailist.net/model/samsung-r-d-institute-russia/fine-tuned-awd-lstm-doc-fin.md) - [Finix-P1-32B](https://genailist.net/model/ant-group/finix-p1-32b.md) - [Firefly](https://genailist.net/model/adobe/firefly.md) - [Firefly Image 3](https://genailist.net/model/adobe/firefly-image-3.md) - [Firefly Image 4](https://genailist.net/model/adobe/firefly-image-4.md) - [Firefly Image 4 Ultra](https://genailist.net/model/adobe/firefly-image-4-ultra.md) - [Firefly Video](https://genailist.net/model/adobe/firefly-video.md) - [Fish-Speech 1.4](https://genailist.net/model/fish-audio/fish-speech-1-4.md) - [Fish-Speech 1.5](https://genailist.net/model/fish-audio/fish-speech-1-5.md) - [Fisher Kernel GMM](https://genailist.net/model/xerox/fisher-kernel-gmm.md) - [Fisher Vector image classifier](https://genailist.net/model/universidad-nacional-de-cordoba/fisher-vector-image-classifier.md) - [Fisher-Boost](https://genailist.net/model/xerox-research-centre-europe-xrce/fisher-boost.md) - [Flamingo](https://genailist.net/model/deepmind/flamingo.md) - [Flan T5-XXL + BLIP-2](https://genailist.net/model/salesforce-research/flan-t5-xxl-blip-2.md) - [Flan UL2](https://genailist.net/model/google-brain/flan-ul2.md) - [Flan-PaLM 540B](https://genailist.net/model/google/flan-palm-540b.md) - [Flan-T5 11B](https://genailist.net/model/google/flan-t5-11b.md) - [FlexSBDD](https://genailist.net/model/university-of-science-and-technology-of-china-ustc/flexsbdd.md) - [Flexi-JEST++](https://genailist.net/model/google-deepmind/flexi-jest.md) - [Florence](https://genailist.net/model/microsoft/florence.md) - [Florence-2-B (base)](https://genailist.net/model/microsoft/florence-2-b-base.md) - [Florence-2-L (large)](https://genailist.net/model/microsoft/florence-2-l-large.md) - [Flow++ (CIFAR10)](https://genailist.net/model/university-of-california-uc-berkeley/flow-cifar10.md) - [FlowER](https://genailist.net/model/massachusetts-institute-of-technology-mit/flower.md) - [Flux.1 [dev\]](https://genailist.net/model/black-forest-labs/flux-1-dev.md) - [Flux.1 [pro\]](https://genailist.net/model/black-forest-labs/flux-1-pro.md) - [Fold2Seq](https://genailist.net/model/ibm/fold2seq.md) - [FoldFlow](https://genailist.net/model/mcgill-university/foldflow.md) - [FoldFlow2](https://genailist.net/model/dreamfold/foldflow2.md) - [FoleyGRAM](https://genailist.net/model/sapienza-nlp/foleygram.md) - [Foundation-sec-8b](https://genailist.net/model/cisco/foundation-sec-8b.md) - [FoundationStereo](https://genailist.net/model/nvidia/foundationstereo.md) - [FourCastNet](https://genailist.net/model/nvidia/fourcastnet.md) - [FoxBrain](https://genailist.net/model/foxconn/foxbrain.md) - [Fractional Max-Pooling](https://genailist.net/model/university-of-warwick/fractional-max-pooling.md) - [FragLlama](https://genailist.net/model/yds-pharmatech/fragllama.md) - [FragLlama: Next-fragment prediction for molecular design](https://genailist.net/model/facebook-ai-research/fragllama-next-fragment-prediction-for-molecular-design.md) - [Frage-AWD-LSTM-MemoryAug-NeuralCache (PTB)](https://genailist.net/model/johns-hopkins-university/frage-awd-lstm-memoryaug-neuralcache-ptb.md) - [Fragment embedding](https://genailist.net/model/stanford-university/fragment-embedding.md) - [Fraternal dropout + AWD-LSTM 3-layer (PTB)](https://genailist.net/model/university-of-montreal-universit-de-montr-al/fraternal-dropout-awd-lstm-3-layer-ptb.md) - [Fraternal dropout + AWD-LSTM 3-layer (WT2)](https://genailist.net/model/jagiellonian-university/fraternal-dropout-awd-lstm-3-layer-wt2.md) - [Fugaku-LLM](https://genailist.net/model/tohoku-university/fugaku-llm.md) - [Fugatto 1](https://genailist.net/model/nvidia/fugatto-1.md) - [Fully Convolutional Networks](https://genailist.net/model/university-of-california-uc-berkeley/fully-convolutional-networks.md) - [Fulu Gua (福禄瓜)](https://genailist.net/model/bytedance/fulu-gua.md) - [FunSearch](https://genailist.net/model/google-deepmind/funsearch.md) - [Fusion in Encoder](https://genailist.net/model/samsung/fusion-in-encoder.md) - [Futures trading net](https://genailist.net/model/unknown/futures-trading-net.md) - [Fuyu-8B](https://genailist.net/model/adept/fuyu-8b.md) - [Fuyu-Heavy](https://genailist.net/model/adept/fuyu-heavy.md) - [Fuzzy NN](https://genailist.net/model/indian-statistical-institute/fuzzy-nn.md) - [FvFold](https://genailist.net/model/jeonbuk-national-university/fvfold.md) - [GAIA-1](https://genailist.net/model/wayve/gaia-1.md) - [GAIA-2](https://genailist.net/model/wayve/gaia-2.md) - [GAN-Advancer](https://genailist.net/model/openai/gan-advancer.md) - [GANs](https://genailist.net/model/university-of-montreal-universit-de-montr-al/gans.md) - [GAWWN](https://genailist.net/model/university-of-michigan/gawwn.md) - [GBERT-Large](https://genailist.net/model/deepset/gbert-large.md) - [GCNN-14](https://genailist.net/model/facebook-ai-research/gcnn-14.md) - [GCRN-M1, dropout](https://genailist.net/model/ecole-polytechnique-f-ed-erale-de-lausanne-epfl/gcrn-m1-dropout.md) - [GELU for CIFAR-10](https://genailist.net/model/university-of-california-uc-berkeley/gelu-for-cifar-10.md) - [GGNN](https://genailist.net/model/westlake-university/ggnn.md) - [GITIII](https://genailist.net/model/yale-school-of-public-health/gitiii.md) - [GL-LWGC-AWD-MoS-LSTM + dynamic evaluation (PTB)](https://genailist.net/model/ben-gurion-university/gl-lwgc-awd-mos-lstm-dynamic-evaluation-ptb.md) - [GL-LWGC-AWD-MoS-LSTM + dynamic evaluation (WT2)](https://genailist.net/model/ben-gurion-university-of-the-negev/gl-lwgc-awd-mos-lstm-dynamic-evaluation-wt2.md) - [GLA Transformer 1.3B](https://genailist.net/model/mit-ibm-watson-ai-lab/gla-transformer-1-3b.md) - [GLA Transformer 340M](https://genailist.net/model/mit-ibm-watson-ai-lab/gla-transformer-340m.md) - [GLEE](https://genailist.net/model/university-of-edinburgh/glee.md) - [GLIDE](https://genailist.net/model/openai/glide.md) - [GLM 4.5](https://genailist.net/model/zhipu-ai/glm-4-5.md) - [GLM 4.6](https://genailist.net/model/zhipu-ai/glm-4-6.md) - [GLM-10B](https://genailist.net/model/tsinghua-university/glm-10b.md) - [GLM-10B-bidirectional](https://genailist.net/model/tsinghua-university/glm-10b-bidirectional.md) - [GLM-10B-unidirectional](https://genailist.net/model/tsinghua-university/glm-10b-unidirectional.md) - [GLM-130B](https://genailist.net/model/tsinghua-university/glm-130b.md) - [GLM-2B](https://genailist.net/model/tsinghua-university/glm-2b.md) - [GLM-4](https://genailist.net/model/zhipu-ai/glm-4.md) - [GLM-4 (0116)](https://genailist.net/model/zhipu-ai/glm-4-0116.md) - [GLM-4 (0520)](https://genailist.net/model/zhipu-ai/glm-4-0520.md) - [GLM-4-32B-0414](https://genailist.net/model/zhipu-ai/glm-4-32b-0414.md) - [GLM-4-9B-0414](https://genailist.net/model/tsinghua-university/glm-4-9b-0414.md) - [GLM-4-Plus](https://genailist.net/model/zhipu-ai/glm-4-plus.md) - [GLM-4.1V-Thinking](https://genailist.net/model/zhipu-ai/glm-4-1v-thinking.md) - [GLM-4.5-Air](https://genailist.net/model/zhipu-ai/glm-4-5-air.md) - [GLM-4.5V](https://genailist.net/model/zhipu-ai/glm-4-5v.md) - [GLM-4.6V](https://genailist.net/model/zhipu-ai/glm-4-6v.md) - [GLM-4.7](https://genailist.net/model/zhipu-ai/glm-4-7.md) - [GLM-4V-9B](https://genailist.net/model/zhipu-ai/glm-4v-9b.md) - [GLM-5](https://genailist.net/model/zhipu-ai/glm-5.md) - [GLM-5.1](https://genailist.net/model/zhipu-ai/glm-5-1.md) - [GLM-5.2](https://genailist.net/model/zhipu-ai/glm-5-2.md) - [GLM-5V-Turbo](https://genailist.net/model/zhipu-ai/glm-5v-turbo.md) - [GLM-ASR-2512](https://genailist.net/model/zhipu-ai/glm-asr-2512.md) - [GLM-Z1-Rumination-32B-0414](https://genailist.net/model/tsinghua-university/glm-z1-rumination-32b-0414.md) - [GLaM](https://genailist.net/model/google/glam.md) - [GNMT](https://genailist.net/model/google/gnmt.md) - [GNoME for crystal discovery](https://genailist.net/model/google-deepmind/gnome-for-crystal-discovery.md) - [GOAT](https://genailist.net/model/deepmind/goat.md) - [GPT Image 1.5](https://genailist.net/model/openai/gpt-image-1-5.md) - [GPT-1](https://genailist.net/model/openai/gpt-1.md) - [GPT-2 (1.5B)](https://genailist.net/model/openai/gpt-2-1-5b.md) - [GPT-2 (1.5B, Curriculum Learning 45K)](https://genailist.net/model/microsoft/gpt-2-1-5b-curriculum-learning-45k.md) - [GPT-2 (117M, SLW 110K)](https://genailist.net/model/microsoft/gpt-2-117m-slw-110k.md) - [GPT-2 (124M)](https://genailist.net/model/openai/gpt-2-124m.md) - [GPT-2 (355M)](https://genailist.net/model/openai/gpt-2-355m.md) - [GPT-2 (774M)](https://genailist.net/model/openai/gpt-2-774m.md) - [GPT-2 (AMPS)](https://genailist.net/model/university-of-california-uc-berkeley/gpt-2-amps.md) - [GPT-2 (fine-tuned with HYDRA)](https://genailist.net/model/university-of-california-san-diego/gpt-2-fine-tuned-with-hydra.md) - [GPT-2 + Progressive LRD](https://genailist.net/model/huawei/gpt-2-progressive-lrd.md) - [GPT-2 Medium (FlashAttention)](https://genailist.net/model/stanford-university/gpt-2-medium-flashattention.md) - [GPT-2+Active-SGD (WT2)](https://genailist.net/model/university-of-montreal-universit-de-montr-al/gpt-2-active-sgd-wt2.md) - [GPT-2-Medium+Pixelfly](https://genailist.net/model/stanford-university/gpt-2-medium-pixelfly.md) - [GPT-2-Small+Pixelfly](https://genailist.net/model/stanford-university/gpt-2-small-pixelfly.md) - [GPT-3 13B](https://genailist.net/model/openai/gpt-3-13b.md) - [GPT-3 175B (davinci)](https://genailist.net/model/openai/gpt-3-175b-davinci.md) - [GPT-3 2.7B](https://genailist.net/model/openai/gpt-3-2-7b.md) - [GPT-3 6.7B](https://genailist.net/model/openai/gpt-3-6-7b.md) - [GPT-3 Large](https://genailist.net/model/openai/gpt-3-large.md) - [GPT-3 Medium](https://genailist.net/model/openai/gpt-3-medium.md) - [GPT-3 Small](https://genailist.net/model/openai/gpt-3-small.md) - [GPT-3 XL](https://genailist.net/model/openai/gpt-3-xl.md) - [GPT-3.5](https://genailist.net/model/openai/gpt-3-5.md) - [GPT-3.5 Turbo](https://genailist.net/model/openai/gpt-3-5-turbo.md) - [GPT-4 (Jun 2023)](https://genailist.net/model/openai/gpt-4-jun-2023.md) - [GPT-4 (Mar 2023)](https://genailist.net/model/openai/gpt-4-mar-2023.md) - [GPT-4 Turbo (Apr 2024)](https://genailist.net/model/openai/gpt-4-turbo-apr-2024.md) - [GPT-4 Turbo (Nov 2023)](https://genailist.net/model/openai/gpt-4-turbo-nov-2023.md) - [GPT-4.1](https://genailist.net/model/openai/gpt-4-1.md) - [GPT-4.1 mini](https://genailist.net/model/openai/gpt-4-1-mini.md) - [GPT-4.1 nano](https://genailist.net/model/openai/gpt-4-1-nano.md) - [GPT-4.5](https://genailist.net/model/openai/gpt-4-5.md) - [GPT-4V](https://genailist.net/model/openai/gpt-4v.md) - [GPT-4b micro](https://genailist.net/model/openai/gpt-4b-micro.md) - [GPT-4o (Aug 2024)](https://genailist.net/model/openai/gpt-4o-aug-2024.md) - [GPT-4o (Jan 2025)](https://genailist.net/model/openai/gpt-4o-jan-2025.md) - [GPT-4o (Mar 2025)](https://genailist.net/model/openai/gpt-4o-mar-2025.md) - [GPT-4o (May 2024)](https://genailist.net/model/openai/gpt-4o-may-2024.md) - [GPT-4o (Nov 2024)](https://genailist.net/model/openai/gpt-4o-nov-2024.md) - [GPT-4o mini](https://genailist.net/model/openai/gpt-4o-mini.md) - [GPT-5](https://genailist.net/model/openai/gpt-5.md) - [GPT-5 Pro](https://genailist.net/model/openai/gpt-5-pro.md) - [GPT-5 Turbo](https://genailist.net/model/openai/gpt-5-turbo.md) - [GPT-5 mini](https://genailist.net/model/openai/gpt-5-mini.md) - [GPT-5 nano](https://genailist.net/model/openai/gpt-5-nano.md) - [GPT-5.1](https://genailist.net/model/openai/gpt-5-1.md) - [GPT-5.2](https://genailist.net/model/openai/gpt-5-2.md) - [GPT-5.2-Codex](https://genailist.net/model/openai/gpt-5-2-codex.md) - [GPT-5.3-Codex](https://genailist.net/model/openai/gpt-5-3-codex.md) - [GPT-5.3-Codex-Spark](https://genailist.net/model/openai/gpt-5-3-codex-spark.md) - [GPT-5.4](https://genailist.net/model/openai/gpt-5-4.md) - [GPT-5.4 Thinking](https://genailist.net/model/openai/gpt-5-4-thinking.md) - [GPT-5.4 mini](https://genailist.net/model/openai/gpt-5-4-mini.md) - [GPT-5.4 nano](https://genailist.net/model/openai/gpt-5-4-nano.md) - [GPT-5.5](https://genailist.net/model/openai/gpt-5-5.md) - [GPT-5.5 Instant](https://genailist.net/model/openai/gpt-5-5-instant.md) - [GPT-5.5 Pro](https://genailist.net/model/openai/gpt-5-5-pro.md) - [GPT-5.5-Cyber](https://genailist.net/model/openai/gpt-5-5-cyber.md) - [GPT-5.6 Luna](https://genailist.net/model/openai/gpt-5-6-luna.md) - [GPT-5.6 Sol](https://genailist.net/model/openai/gpt-5-6-sol.md) - [GPT-5.6 Terra](https://genailist.net/model/openai/gpt-5-6-terra.md) - [GPT-J-6B](https://genailist.net/model/eleutherai/gpt-j-6b.md) - [GPT-Live-1](https://genailist.net/model/openai/gpt-live-1.md) - [GPT-MolBERTa](https://genailist.net/model/carnegie-mellon-university-cmu/gpt-molberta.md) - [GPT-Neo-1.3B](https://genailist.net/model/eleutherai/gpt-neo-1-3b.md) - [GPT-Neo-1.3B (finetuned)](https://genailist.net/model/eleutherai/gpt-neo-1-3b-finetuned.md) - [GPT-Neo-125M](https://genailist.net/model/eleutherai/gpt-neo-125m.md) - [GPT-Neo-125M (finetuned)](https://genailist.net/model/eleutherai/gpt-neo-125m-finetuned.md) - [GPT-Neo-2.7B](https://genailist.net/model/eleutherai/gpt-neo-2-7b.md) - [GPT-Neo-2.7B (finetuned on PTB)](https://genailist.net/model/eleutherai/gpt-neo-2-7b-finetuned-on-ptb.md) - [GPT-Neo-2.7B (finetuned)](https://genailist.net/model/eleutherai/gpt-neo-2-7b-finetuned.md) - [GPT-NeoX-20B](https://genailist.net/model/eleutherai/gpt-neox-20b.md) - [GPT-NeoX-Japanese](https://genailist.net/model/abeja/gpt-neox-japanese.md) - [GPT-Realtime-2](https://genailist.net/model/openai/gpt-realtime-2.md) - [GPT-Realtime-2.1](https://genailist.net/model/openai/gpt-realtime-2-1.md) - [GPT-Realtime-Translate](https://genailist.net/model/openai/gpt-realtime-translate.md) - [GPT-Realtime-Whisper](https://genailist.net/model/openai/gpt-realtime-whisper.md) - [GPT-SW3](https://genailist.net/model/ai-sweden/gpt-sw3.md) - [GPT-Transcribe](https://genailist.net/model/openai/gpt-transcribe.md) - [GPT2+CoreLM+Fine-Tuning](https://genailist.net/model/aristotle-university-of-thessaloniki/gpt2-corelm-fine-tuning.md) - [GPT2-Large+LHOPT](https://genailist.net/model/openai/gpt2-large-lhopt.md) - [GPT2-LayerFusion-WS](https://genailist.net/model/university-of-liverpool/gpt2-layerfusion-ws.md) - [GPT3-2.7B (FlashAttention-2)](https://genailist.net/model/stanford-university/gpt3-2-7b-flashattention-2.md) - [GPT3-6.7B (rerun of original)](https://genailist.net/model/microsoft/gpt3-6-7b-rerun-of-original.md) - [GPT3-6.7B + muP](https://genailist.net/model/microsoft/gpt3-6-7b-mup.md) - [GPT‑5-Codex](https://genailist.net/model/openai/gpt-5-codex.md) - [GPU DBNs](https://genailist.net/model/stanford-university/gpu-dbns.md) - [GPU implementation of neural networks](https://genailist.net/model/soongsil-university/gpu-implementation-of-neural-networks.md) - [GPipe (Transformer)](https://genailist.net/model/google/gpipe-transformer.md) - [GQA-8-XXL](https://genailist.net/model/google-research/gqa-8-xxl.md) - [GR-2](https://genailist.net/model/bytedance/gr-2.md) - [GR00T N1 2B](https://genailist.net/model/nvidia/gr00t-n1-2b.md) - [GRITLM 7B](https://genailist.net/model/contextual-ai/gritlm-7b.md) - [GRITLM 8x7B](https://genailist.net/model/contextual-ai/gritlm-8x7b.md) - [GRU + p-tHSM (pretrain via Brown) (PTB)](https://genailist.net/model/beihang-university/gru-p-thsm-pretrain-via-brown-ptb.md) - [GRU + p-tHSM (pretrain via Brown) (WT2)](https://genailist.net/model/beihang-university/gru-p-thsm-pretrain-via-brown-wt2.md) - [GRUs](https://genailist.net/model/university-of-montreal-universit-de-montr-al/grus.md) - [GSM](https://genailist.net/model/peking-university/gsm.md) - [GShard (600B)](https://genailist.net/model/google/gshard-600b.md) - [GShard (dense)](https://genailist.net/model/google/gshard-dense.md) - [GTE-ModernColBERT-v1](https://genailist.net/model/lighton/gte-moderncolbert-v1.md) - [Galactica](https://genailist.net/model/meta-ai/galactica.md) - [Galaxy (星汉Galaxy大模型)](https://genailist.net/model/dahan-software-hanweb/galaxy-galaxy.md) - [GameNGen](https://genailist.net/model/google-research/gamengen.md) - [Gato](https://genailist.net/model/deepmind/gato.md) - [Gauss2](https://genailist.net/model/samsung/gauss2.md) - [GePpeTto](https://genailist.net/model/ilc-cnr/geppetto.md) - [GearBind](https://genailist.net/model/biogeometry/gearbind.md) - [GearNet](https://genailist.net/model/mila-quebec-ai-originally-montreal-institute-for-learning-algorithms/gearnet.md) - [GemNet-OC](https://genailist.net/model/unknown/gemnet-oc-1.md) - [GemNet-OC](https://genailist.net/model/technical-university-of-munich/gemnet-oc.md) - [GemNet-T (OC20)](https://genailist.net/model/technical-university-of-munich/gemnet-t-oc20.md) - [Gemini 1.0 Pro](https://genailist.net/model/google-deepmind/gemini-1-0-pro.md) - [Gemini 1.0 Pro Vision](https://genailist.net/model/google-deepmind/gemini-1-0-pro-vision.md) - [Gemini 1.0 Ultra](https://genailist.net/model/google-deepmind/gemini-1-0-ultra.md) - [Gemini 1.5 Flash (May 2024)](https://genailist.net/model/google-deepmind/gemini-1-5-flash-may-2024.md) - [Gemini 1.5 Flash (Sep 2024)](https://genailist.net/model/google-deepmind/gemini-1-5-flash-sep-2024.md) - [Gemini 1.5 Flash 8B](https://genailist.net/model/google-deepmind/gemini-1-5-flash-8b.md) - [Gemini 1.5 Pro](https://genailist.net/model/google-deepmind/gemini-1-5-pro.md) - [Gemini 2.0 Flash](https://genailist.net/model/google-deepmind/gemini-2-0-flash.md) - [Gemini 2.0 Flash Thinking (Dec 2024)](https://genailist.net/model/google-deepmind/gemini-2-0-flash-thinking-dec-2024.md) - [Gemini 2.0 Flash Thinking (Jan 2025)](https://genailist.net/model/google-deepmind/gemini-2-0-flash-thinking-jan-2025.md) - [Gemini 2.0 Flash-Lite (Feb 2024)](https://genailist.net/model/google-deepmind/gemini-2-0-flash-lite-feb-2024.md) - [Gemini 2.0 Pro](https://genailist.net/model/google-deepmind/gemini-2-0-pro.md) - [Gemini 2.5 Computer Use](https://genailist.net/model/google/gemini-2-5-computer-use.md) - [Gemini 2.5 Deep Think](https://genailist.net/model/google/gemini-2-5-deep-think.md) - [Gemini 2.5 Flash (Apr 2025)](https://genailist.net/model/google-deepmind/gemini-2-5-flash-apr-2025.md) - [Gemini 2.5 Flash (Jun 2025)](https://genailist.net/model/google-deepmind/gemini-2-5-flash-jun-2025.md) - [Gemini 2.5 Flash (May 2025)](https://genailist.net/model/google-deepmind/gemini-2-5-flash-may-2025.md) - [Gemini 2.5 Flash (Sep 2025)](https://genailist.net/model/google-deepmind/gemini-2-5-flash-sep-2025.md) - [Gemini 2.5 Flash Image (Nano Banana)](https://genailist.net/model/google/gemini-2-5-flash-image-nano-banana.md) - [Gemini 2.5 Flash Native Audio](https://genailist.net/model/google-deepmind/gemini-2-5-flash-native-audio.md) - [Gemini 2.5 Flash-Lite (Jun 2024)](https://genailist.net/model/google-deepmind/gemini-2-5-flash-lite-jun-2024.md) - [Gemini 2.5 Flash-Lite (Sep 2024)](https://genailist.net/model/google-deepmind/gemini-2-5-flash-lite-sep-2024.md) - [Gemini 2.5 Pro (Jun 2025)](https://genailist.net/model/google-deepmind/gemini-2-5-pro-jun-2025.md) - [Gemini 2.5 Pro (Mar 2025)](https://genailist.net/model/google-deepmind/gemini-2-5-pro-mar-2025.md) - [Gemini 2.5 Pro (May 2025)](https://genailist.net/model/google-deepmind/gemini-2-5-pro-may-2025.md) - [Gemini 3 Pro](https://genailist.net/model/google-deepmind/gemini-3-pro.md) - [Gemini 3.1 Flash Lite](https://genailist.net/model/google-deepmind/gemini-3-1-flash-lite.md) - [Gemini 3.1 Flash Live](https://genailist.net/model/google-deepmind/gemini-3-1-flash-live.md) - [Gemini 3.1 Pro](https://genailist.net/model/google-deepmind/gemini-3-1-pro.md) - [Gemini 3.5 Flash](https://genailist.net/model/google-deepmind/gemini-3-5-flash.md) - [Gemini 3.5 Flash Cyber](https://genailist.net/model/google-deepmind/gemini-3-5-flash-cyber.md) - [Gemini 3.5 Flash-Lite](https://genailist.net/model/google-deepmind/gemini-3-5-flash-lite.md) - [Gemini 3.5 Live Translate](https://genailist.net/model/google-deepmind/gemini-3-5-live-translate.md) - [Gemini 3.6 Flash](https://genailist.net/model/google-deepmind/gemini-3-6-flash.md) - [Gemini Embedding](https://genailist.net/model/google-deepmind/gemini-embedding.md) - [Gemini Embedding 2](https://genailist.net/model/google-deepmind/gemini-embedding-2.md) - [Gemini Nano 4](https://genailist.net/model/google-deepmind/gemini-nano-4.md) - [Gemini Nano-1](https://genailist.net/model/google-deepmind/gemini-nano-1.md) - [Gemini Nano-2](https://genailist.net/model/google-deepmind/gemini-nano-2.md) - [Gemini Omni](https://genailist.net/model/google-deepmind/gemini-omni.md) - [Gemini Robotics](https://genailist.net/model/google-deepmind/gemini-robotics.md) - [Gemini Robotics 1.5](https://genailist.net/model/google-deepmind/gemini-robotics-1-5.md) - [Gemini Robotics-ER](https://genailist.net/model/google-deepmind/gemini-robotics-er.md) - [Gemini Robotics-ER 1.5](https://genailist.net/model/google-deepmind/gemini-robotics-er-1-5.md) - [Gemini-Exp-1114](https://genailist.net/model/google-deepmind/gemini-exp-1114.md) - [Gemma 1.1 7B Instruct](https://genailist.net/model/google/gemma-1-1-7b-instruct.md) - [Gemma 2 27B](https://genailist.net/model/google-deepmind/gemma-2-27b.md) - [Gemma 2 2B](https://genailist.net/model/google-deepmind/gemma-2-2b.md) - [Gemma 2 9B](https://genailist.net/model/google-deepmind/gemma-2-9b.md) - [Gemma 2 9B Neogenesis ITA](https://genailist.net/model/anakin87/gemma-2-9b-neogenesis-ita.md) - [Gemma 2B](https://genailist.net/model/google-deepmind/gemma-2b.md) - [Gemma 3 12B](https://genailist.net/model/google-deepmind/gemma-3-12b.md) - [Gemma 3 1B](https://genailist.net/model/google-deepmind/gemma-3-1b.md) - [Gemma 3 270M](https://genailist.net/model/google-deepmind/gemma-3-270m.md) - [Gemma 3 27B](https://genailist.net/model/google-deepmind/gemma-3-27b.md) - [Gemma 3 4B](https://genailist.net/model/google-deepmind/gemma-3-4b.md) - [Gemma 3 QAT 12B](https://genailist.net/model/google-deepmind/gemma-3-qat-12b.md) - [Gemma 3 QAT 1B](https://genailist.net/model/google-deepmind/gemma-3-qat-1b.md) - [Gemma 3 QAT 27B](https://genailist.net/model/google-deepmind/gemma-3-qat-27b.md) - [Gemma 3 QAT 4B](https://genailist.net/model/google-deepmind/gemma-3-qat-4b.md) - [Gemma 3n](https://genailist.net/model/google/gemma-3n.md) - [Gemma 4 12B](https://genailist.net/model/google-deepmind/gemma-4-12b.md) - [Gemma 4 26B](https://genailist.net/model/google-deepmind/gemma-4-26b.md) - [Gemma 4 31B](https://genailist.net/model/google-deepmind/gemma-4-31b.md) - [Gemma 4 E2B](https://genailist.net/model/google-deepmind/gemma-4-e2b.md) - [Gemma 4 E4B](https://genailist.net/model/google-deepmind/gemma-4-e4b.md) - [Gemma 7B](https://genailist.net/model/google-deepmind/gemma-7b.md) - [Gemma-SEA-LION-v4-27B-IT](https://genailist.net/model/ai-singapore/gemma-sea-lion-v4-27b-it.md) - [Gemma2 9B CPT Sahabat-AI](https://genailist.net/model/indosat/gemma2-9b-cpt-sahabat-ai.md) - [Gen-0](https://genailist.net/model/generalist/gen-0.md) - [Gen-1](https://genailist.net/model/runway/gen-1.md) - [Gen-2](https://genailist.net/model/runway/gen-2.md) - [Gen-3 Alpha](https://genailist.net/model/runway/gen-3-alpha.md) - [Gen-3 Alpha Turbo](https://genailist.net/model/runway/gen-3-alpha-turbo.md) - [Gen-4](https://genailist.net/model/runway/gen-4.md) - [Gen-4 Turbo](https://genailist.net/model/runway/gen-4-turbo.md) - [GenCast](https://genailist.net/model/google-deepmind/gencast.md) - [GenMS](https://genailist.net/model/google-deepmind/genms.md) - [GenSLM](https://genailist.net/model/university-of-chicago/genslm.md) - [Generative BST](https://genailist.net/model/facebook-ai-research/generative-bst.md) - [Genesis](https://genailist.net/model/ecole-polytechnique-f-ed-erale-de-lausanne-epfl/genesis.md) - [Genetic algorithm](https://genailist.net/model/institute-for-advanced-study/genetic-algorithm.md) - [Genie](https://genailist.net/model/google-deepmind/genie.md) - [Genie 2](https://genailist.net/model/google-deepmind/genie-2.md) - [Genie 2 (bio)](https://genailist.net/model/columbia-university/genie-2-bio.md) - [Genie 3](https://genailist.net/model/google-deepmind/genie-3.md) - [Genie-SCOPe (bio)](https://genailist.net/model/columbia-university/genie-scope-bio.md) - [GeoAB](https://genailist.net/model/zhejiang-university-zju/geoab.md) - [GeoSeqBuilder](https://genailist.net/model/peking-university/geoseqbuilder.md) - [German ELECTRA Large](https://genailist.net/model/deepset/german-electra-large.md) - [Gezhi (格致大模型)](https://genailist.net/model/troy-information-technology-co/gezhi.md) - [GigaAM Multilingual](https://genailist.net/model/ai-sage/gigaam-multilingual.md) - [GigaChat](https://genailist.net/model/sber/gigachat.md) - [GigaChat 2 Lite](https://genailist.net/model/sber/gigachat-2-lite.md) - [GigaChat 2 MAX](https://genailist.net/model/sber/gigachat-2-max.md) - [GigaChat 2 Pro](https://genailist.net/model/sber/gigachat-2-pro.md) - [GigaChat Lite (GigaChat-20B-A3B)](https://genailist.net/model/sber/gigachat-lite-gigachat-20b-a3b.md) - [GigaChat MAX](https://genailist.net/model/sber/gigachat-max.md) - [GigaChat Pro](https://genailist.net/model/sber/gigachat-pro.md) - [GigaChat-7B](https://genailist.net/model/sber/gigachat-7b.md) - [GigaEmbeddings](https://genailist.net/model/sber/gigaembeddings.md) - [GigaGAN](https://genailist.net/model/postech/gigagan.md) - [Glow (Celeba HQ)](https://genailist.net/model/openai/glow-celeba-hq.md) - [Go-explore](https://genailist.net/model/uber-ai/go-explore.md) - [Goat-7B](https://genailist.net/model/national-university-of-singapore/goat-7b.md) - [Goku+](https://genailist.net/model/the-university-of-hong-kong/goku.md) - [Goku-8B](https://genailist.net/model/the-university-of-hong-kong/goku-8b.md) - [Golem](https://genailist.net/model/alan-turing-institute/golem.md) - [GoogLeNet / InceptionV1](https://genailist.net/model/google/googlenet-inceptionv1.md) - [Gopher (280B)](https://genailist.net/model/deepmind/gopher-280b.md) - [Gopher (7.1B)](https://genailist.net/model/deepmind/gopher-7-1b.md) - [GraSR](https://genailist.net/model/shanghai-jiao-tong-university/grasr.md) - [Gradient Boosting Machine](https://genailist.net/model/stanford-university/gradient-boosting-machine.md) - [Granite 13B](https://genailist.net/model/ibm/granite-13b.md) - [Granite 20B](https://genailist.net/model/ibm-research/granite-20b.md) - [Granite 3.0 2B](https://genailist.net/model/ibm/granite-3-0-2b.md) - [Granite 3.0 8B](https://genailist.net/model/ibm/granite-3-0-8b.md) - [Granite 3.1 2B](https://genailist.net/model/ibm/granite-3-1-2b.md) - [Granite 3.1 8B](https://genailist.net/model/ibm/granite-3-1-8b.md) - [Granite 3.2](https://genailist.net/model/ibm/granite-3-2.md) - [Granite 3.2 2B](https://genailist.net/model/ibm/granite-3-2-2b.md) - [Granite 3.2 2B](https://genailist.net/model/ibm-research/granite-3-2-2b-1.md) - [Granite 3.2 8B](https://genailist.net/model/ibm/granite-3-2-8b.md) - [Granite 4.0](https://genailist.net/model/ibm/granite-4-0.md) - [Granite 4.0 1B Speech](https://genailist.net/model/ibm/granite-4-0-1b-speech.md) - [Granite Embedding Multilingual R2](https://genailist.net/model/ibm/granite-embedding-multilingual-r2.md) - [Granite Guardian 3.2](https://genailist.net/model/ibm/granite-guardian-3-2.md) - [Granite SWASH 3B](https://genailist.net/model/ibm/granite-swash-3b-a600m.md) - [Granite Vision 3.2 2B](https://genailist.net/model/ibm/granite-vision-3-2-2b.md) - [Granite-4.0-H-Micro](https://genailist.net/model/ibm/granite-4-0-h-micro.md) - [Granite-4.0-H-Small](https://genailist.net/model/ibm/granite-4-0-h-small.md) - [Granite-4.0-H-Tiny](https://genailist.net/model/ibm/granite-4-0-h-tiny.md) - [Granite-Docling](https://genailist.net/model/ibm/granite-docling.md) - [Graph-based Semi-Supervised Learning (GSSL) Model on MNIST](https://genailist.net/model/west-virginia-university/graph-based-semi-supervised-learning-gssl-model-on-mnist.md) - [Graph-based structural reasoning](https://genailist.net/model/massachusetts-institute-of-technology-mit/graph-based-structural-reasoning.md) - [GraphBP](https://genailist.net/model/texas-a-m/graphbp.md) - [GraphCast](https://genailist.net/model/google-deepmind/graphcast.md) - [GraphEC](https://genailist.net/model/sun-yat-sen-university/graphec.md) - [GraphMS](https://genailist.net/model/dalian-university-of-technology/graphms.md) - [Greedy layer-wise DNN training](https://genailist.net/model/university-of-montreal-universit-de-montr-al/greedy-layer-wise-dnn-training.md) - [Griffin](https://genailist.net/model/google-deepmind/griffin.md) - [Grok 3](https://genailist.net/model/xai/grok-3.md) - [Grok 3 Beta](https://genailist.net/model/xai/grok-3-beta.md) - [Grok 4](https://genailist.net/model/xai/grok-4.md) - [Grok 4 Fast](https://genailist.net/model/xai/grok-4-fast.md) - [Grok 4 Heavy](https://genailist.net/model/xai/grok-4-heavy.md) - [Grok 4.1](https://genailist.net/model/xai/grok-4-1.md) - [Grok 4.1 Fast](https://genailist.net/model/xai/grok-4-1-fast.md) - [Grok 4.20](https://genailist.net/model/xai/grok-4-20.md) - [Grok 4.3](https://genailist.net/model/xai/grok-4-3.md) - [Grok 4.5](https://genailist.net/model/xai/grok-4-5.md) - [Grok Build 0.1](https://genailist.net/model/xai/grok-build-0-1.md) - [Grok Code Fast 1](https://genailist.net/model/xai/grok-code-fast-1.md) - [Grok Collections API](https://genailist.net/model/xai/grok-collections-api.md) - [Grok Image Generation / Aurora](https://genailist.net/model/xai/grok-image-generation-aurora.md) - [Grok Imagine](https://genailist.net/model/xai/grok-imagine.md) - [Grok Imagine Video 1.5](https://genailist.net/model/xai/grok-imagine-video-1-5.md) - [Grok Voice Agent API](https://genailist.net/model/xai/grok-voice-agent-api.md) - [Grok Voice Think Fast 1.0](https://genailist.net/model/xai/grok-voice-think-fast-1-0.md) - [Grok-0](https://genailist.net/model/xai/grok-0.md) - [Grok-1](https://genailist.net/model/xai/grok-1.md) - [Grok-1.5](https://genailist.net/model/xai/grok-1-5.md) - [Grok-1.5V](https://genailist.net/model/xai/grok-1-5v.md) - [Grok-2](https://genailist.net/model/xai/grok-2.md) - [Grok-2 mini](https://genailist.net/model/xai/grok-2-mini.md) - [Grok-3 mini](https://genailist.net/model/xai/grok-3-mini.md) - [Grounding Dino L](https://genailist.net/model/tsinghua-university/grounding-dino-l.md) - [GroundingGPT](https://genailist.net/model/bytedance/groundinggpt.md) - [Grover-Mega](https://genailist.net/model/university-of-washington/grover-mega.md) - [Grown to Prune Two-layer stacked LSTM](https://genailist.net/model/university-of-chicago/grown-to-prune-two-layer-stacked-lstm.md) - [Guanaco-65B](https://genailist.net/model/university-of-washington/guanaco-65b.md) - [H-optimus-0](https://genailist.net/model/unknown/h-optimus-0.md) - [HAM-TTS](https://genailist.net/model/geely-automobile-research-institute-ningbo-company/ham-tts.md) - [HAMSTER VLM](https://genailist.net/model/nvidia/hamster-vlm.md) - [HGRN 1B (WT 103)](https://genailist.net/model/shanghai-ai-lab/hgrn-1b-wt-103.md) - [HGRN2 1B](https://genailist.net/model/shanghai-ai-lab/hgrn2-1b.md) - [HGRN2 3B](https://genailist.net/model/shanghai-ai-lab/hgrn2-3b.md) - [HJRSS](https://genailist.net/model/university-of-washington/hjrss.md) - [HLBL](https://genailist.net/model/university-of-toronto/hlbl.md) - [HOGWILD!](https://genailist.net/model/university-of-wisconsin-madison/hogwild.md) - [HR-ResNet101](https://genailist.net/model/carnegie-mellon-university-cmu/hr-resnet101.md) - [HRA](https://genailist.net/model/maluuba/hra.md) - [HSO](https://genailist.net/model/toyota-technological-institute-at-chicago/hso.md) - [HaiYue (浪潮通用软件有限公司)](https://genailist.net/model/inspur/haiyue.md) - [Hailuo I2V-01-Director](https://genailist.net/model/minimax/hailuo-i2v-01-director.md) - [Hailuo I2V-01-Live](https://genailist.net/model/minimax/hailuo-i2v-01-live.md) - [Hailuo T2V-01-Director](https://genailist.net/model/minimax/hailuo-t2v-01-director.md) - [Haiper 2.0](https://genailist.net/model/haiper/haiper-2-0.md) - [Hairuo](https://genailist.net/model/inspur/hairuo.md) - [HaloClass](https://genailist.net/model/university-of-california-davis/haloclass.md) - [Hanabi 4 player](https://genailist.net/model/deepmind/hanabi-4-player.md) - [Handwritten digit recognition network](https://genailist.net/model/at-t/handwritten-digit-recognition-network.md) - [Hanhai (瀚海)](https://genailist.net/model/shuchi-information-technology-shanghai-co/hanhai.md) - [Harrier-OSS-v1-0.6B](https://genailist.net/model/microsoft/harrier-oss-v1-0-6b.md) - [Harrier-OSS-v1-270M](https://genailist.net/model/microsoft/harrier-oss-v1-270m.md) - [Harrier-OSS-v1-27B](https://genailist.net/model/microsoft/harrier-oss-v1-27b.md) - [Harrison.rad.1](https://genailist.net/model/harrison-ai/harrison-rad-1.md) - [Hawk](https://genailist.net/model/google-deepmind/hawk.md) - [Helix](https://genailist.net/model/figure-ai/helix.md) - [HelixFold](https://genailist.net/model/baidu/helixfold.md) - [HelixFold3](https://genailist.net/model/tecorigin-ltd/helixfold3.md) - [HelixProtX](https://genailist.net/model/baidu/helixprotx.md) - [Hermes 2 Theta Llama-3 70B](https://genailist.net/model/nous-research/hermes-2-theta-llama-3-70b.md) - [Hermes 3 405B](https://genailist.net/model/nous-research/hermes-3-405b.md) - [Hermes 3 70B](https://genailist.net/model/nous-research/hermes-3-70b.md) - [Hermes 3 8B](https://genailist.net/model/nous-research/hermes-3-8b.md) - [Hermes 7B ITA](https://genailist.net/model/rai-crits/hermes-7b-ita.md) - [Heuristic Reinforcement Learning](https://genailist.net/model/purdue-university/heuristic-reinforcement-learning.md) - [Heuristic problem solving for AI](https://genailist.net/model/unknown/heuristic-problem-solving-for-ai.md) - [HiCEGNN](https://genailist.net/model/university-of-missouri/hicegnn.md) - [HiDream Foundation Model 1.0](https://genailist.net/model/hidream/hidream-foundation-model-1-0.md) - [HiDream Large Model 1.0](https://genailist.net/model/hidream/hidream-large-model-1-0.md) - [HiDream-I1](https://genailist.net/model/hidream/hidream-i1.md) - [HiFi - NN](https://genailist.net/model/basecamp-research/hifi-nn.md) - [HiPPO-LegS](https://genailist.net/model/stanford-university/hippo-legs.md) - [Hide and Seek](https://genailist.net/model/openai/hide-and-seek.md) - [Hierarchical Cognitron](https://genailist.net/model/nhk-broadcasting-science-research-laboratories/hierarchical-cognitron.md) - [Hierarchical LM](https://genailist.net/model/unknown/hierarchical-lm.md) - [Hierarchical Reasoning Model (HPM)](https://genailist.net/model/sapient-intelligence/hierarchical-reasoning-model-hpm.md) - [Hierarchical Scene Labeling (Stanford Background)](https://genailist.net/model/new-york-university-nyu/hierarchical-scene-labeling-stanford-background.md) - [Higgs Audio v3 TTS](https://genailist.net/model/boson-ai/higgs-audio-v3-tts.md) - [High Performance CNN (NORB)](https://genailist.net/model/idsia/high-performance-cnn-norb.md) - [Highway Network](https://genailist.net/model/idsia/highway-network.md) - [Honghu Graphic](https://genailist.net/model/china-unicom/honghu-graphic.md) - [Hopfield Networks (2020)](https://genailist.net/model/johannes-kepler-university-linz/hopfield-networks-2020.md) - [HuBERT](https://genailist.net/model/facebook-ai-research/hubert.md) - [HuaTuo](https://genailist.net/model/harbin-institute-of-technology/huatuo.md) - [HuatuoGPT](https://genailist.net/model/shenzhen-research-institue-of-big-data/huatuogpt.md) - [Humanoid Locomotion](https://genailist.net/model/university-of-california-uc-berkeley/humanoid-locomotion.md) - [Hunyuan](https://genailist.net/model/tencent/hunyuan.md) - [Hunyuan 2.0 (Think & Instruct)](https://genailist.net/model/tencent/hunyuan-2-0-think-instruct.md) - [Hunyuan Hy3](https://genailist.net/model/tencent/hunyuan-hy3.md) - [Hunyuan Standard](https://genailist.net/model/tencent/hunyuan-standard.md) - [Hunyuan T1](https://genailist.net/model/tencent/hunyuan-t1.md) - [Hunyuan T1-Vision](https://genailist.net/model/tencent/hunyuan-t1-vision.md) - [Hunyuan T1-Vision](https://genailist.net/model/tencent-hunyuan/hunyuan-t1-vision.md) - [Hunyuan Translation](https://genailist.net/model/tencent/hunyuan-translation.md) - [Hunyuan Translation Lite](https://genailist.net/model/tencent/hunyuan-translation-lite.md) - [Hunyuan Turbo](https://genailist.net/model/tencent/hunyuan-turbo.md) - [Hunyuan TurboS LongText 128K (20250325)](https://genailist.net/model/tencent/hunyuan-turbos-longtext-128k-20250325.md) - [Hunyuan Video](https://genailist.net/model/tencent/hunyuan-video.md) - [Hunyuan Voice](https://genailist.net/model/tencent-hunyuan/hunyuan-voice.md) - [Hunyuan-A13B (open-source)](https://genailist.net/model/tencent/hunyuan-a13b-open-source.md) - [Hunyuan-DiT](https://genailist.net/model/tencent/hunyuan-dit.md) - [Hunyuan-Large](https://genailist.net/model/tencent/hunyuan-large.md) - [Hunyuan-MT (open-source)](https://genailist.net/model/tencent/hunyuan-mt-open-source.md) - [Hunyuan-TurboS](https://genailist.net/model/tencent/hunyuan-turbos.md) - [Hunyuan3D 2.0](https://genailist.net/model/tencent/hunyuan3d-2-0.md) - [Hy-Embodied-0.5-VLA](https://genailist.net/model/tencent-hunyuan/hy-embodied-0-5-vla.md) - [Hy-MT2 30B-A3B](https://genailist.net/model/tencent/hy-mt2-30b-a3b.md) - [Hybrid CNN/SVM Object Categorizer](https://genailist.net/model/courant-institute-of-mathematical-sciences/hybrid-cnn-svm-object-categorizer.md) - [Hybrid H3-1.3B](https://genailist.net/model/stanford-university/hybrid-h3-1-3b.md) - [Hybrid H3-125M](https://genailist.net/model/stanford-university/hybrid-h3-125m.md) - [Hybrid H3-2.7B](https://genailist.net/model/stanford-university/hybrid-h3-2-7b.md) - [Hybrid H3-355M](https://genailist.net/model/stanford-university/hybrid-h3-355m.md) - [Hybrid-Phi-Mamba-1.5B](https://genailist.net/model/carnegie-mellon-university-cmu/hybrid-phi-mamba-1-5b.md) - [Hyena 1.3B](https://genailist.net/model/stanford-university/hyena-1-3b.md) - [Hyena-2 153M](https://genailist.net/model/stanford-university/hyena-2-153m.md) - [Hyena-2 355M](https://genailist.net/model/stanford-university/hyena-2-355m.md) - [Hyena-3-slim](https://genailist.net/model/stanford-university/hyena-3-slim.md) - [HyenaDNA](https://genailist.net/model/stanford-university/hyenadna.md) - [Hymba](https://genailist.net/model/nvidia/hymba.md) - [HyperCLOVA 204B](https://genailist.net/model/naver/hyperclova-204b.md) - [HyperCLOVA 82B](https://genailist.net/model/naver/hyperclova-82b.md) - [HyperCLOVA X](https://genailist.net/model/naver/hyperclova-x.md) - [Hyperion 2](https://genailist.net/model/topaz-labs/hyperion-2.md) - [IBM Granite 4.1](https://genailist.net/model/ibm/ibm-granite-4-1.md) - [IDEFICS-80B](https://genailist.net/model/hugging-face/idefics-80b.md) - [IDEFICS-9B](https://genailist.net/model/hugging-face/idefics-9b.md) - [IDPFold](https://genailist.net/model/shandong-university/idpfold.md) - [IEV2MOL](https://genailist.net/model/tokyo-institute-of-technology/iev2mol.md) - [II-Medical-8B](https://genailist.net/model/intelligent-internet/ii-medical-8b.md) - [IMPALA](https://genailist.net/model/deepmind/impala.md) - [INTELLECT-1](https://genailist.net/model/prime-intellect/intellect-1.md) - [INTELLECT-MATH](https://genailist.net/model/prime-intellect/intellect-math.md) - [ISR network](https://genailist.net/model/stanford-university/isr-network.md) - [ISS](https://genailist.net/model/duke-university/iss.md) - [IT5 Base](https://genailist.net/model/gsarti/it5-base.md) - [Idefics2](https://genailist.net/model/hugging-face/idefics2.md) - [Ideogram 1.0](https://genailist.net/model/ideogram/ideogram-1-0.md) - [Ideogram 3.0](https://genailist.net/model/ideogram/ideogram-3-0.md) - [Ideogram 4.0](https://genailist.net/model/ideogram/ideogram-4-0.md) - [Ideogram Character](https://genailist.net/model/ideogram/ideogram-character.md) - [Ideogram v2](https://genailist.net/model/ideogram/ideogram-v2.md) - [IgGM](https://genailist.net/model/chinese-academy-of-sciences/iggm.md) - [Igea 3B](https://genailist.net/model/university-of-pavia/igea-3b.md) - [Image generation](https://genailist.net/model/university-of-amsterdam/image-generation.md) - [Image-01](https://genailist.net/model/minimax/image-01.md) - [Image-to-image cGAN](https://genailist.net/model/university-of-california-uc-berkeley/image-to-image-cgan.md) - [ImageBind](https://genailist.net/model/meta-ai/imagebind.md) - [Imagen](https://genailist.net/model/google-brain/imagen.md) - [Imagen 2](https://genailist.net/model/google-deepmind/imagen-2.md) - [Imagen 3](https://genailist.net/model/google-deepmind/imagen-3.md) - [Imagen 4](https://genailist.net/model/google/imagen-4.md) - [Imagen 4 ultra](https://genailist.net/model/google/imagen-4-ultra.md) - [Imagen Video](https://genailist.net/model/google-brain/imagen-video.md) - [Immediate trihead](https://genailist.net/model/brown-university/immediate-trihead.md) - [Implicit Inversion](https://genailist.net/model/sapienza-nlp/implicit-inversion.md) - [Importance of higher-order epistasis in large protein sequence-function relationships](https://genailist.net/model/university-of-florida/importance-of-higher-order-epistasis-in-large-protein-sequence-function-relationships.md) - [Improved motif-scaffolding with SE(3) flow matching](https://genailist.net/model/university-of-oxford/improved-motif-scaffolding-with-se-3-flow-matching.md) - [Inception v3](https://genailist.net/model/google/inception-v3.md) - [Incoder-6.7B](https://genailist.net/model/facebook-ai-research/incoder-6-7b.md) - [Index-1.9B](https://genailist.net/model/shanghai-kuanyu-digital-technology-co/index-1-9b.md) - [Infinity](https://genailist.net/model/bytedance/infinity.md) - [Infinity (无涯)](https://genailist.net/model/transwarp-technology/infinity-1.md) - [Inflated 3D ConvNet](https://genailist.net/model/deepmind/inflated-3d-convnet.md) - [Inflection-1](https://genailist.net/model/inflection-ai/inflection-1.md) - [Inflection-2](https://genailist.net/model/inflection-ai/inflection-2.md) - [Inflection-2.5](https://genailist.net/model/inflection-ai/inflection-2-5.md) - [Ink Whisper](https://genailist.net/model/cartesia/ink-whisper.md) - [Inkling](https://genailist.net/model/thinking-machines-lab/inkling.md) - [Innervator](https://genailist.net/model/stanford-university/innervator.md) - [Innovative Drug-like Molecule Generation from](https://genailist.net/model/university-of-pittsburgh/innovative-drug-like-molecule-generation-from.md) - [Insights into Human Harmony (洞见人和)](https://genailist.net/model/zhejiang-lianxin-digital-co/insights-into-human-harmony.md) - [Instruct-GPT + Mind's Eye](https://genailist.net/model/google/instruct-gpt-mind-s-eye.md) - [InstructBLIP](https://genailist.net/model/salesforce-research/instructblip.md) - [InstructGPT 1.3B](https://genailist.net/model/openai/instructgpt-1-3b.md) - [InstructGPT 175B](https://genailist.net/model/openai/instructgpt-175b.md) - [InstructGPT 350M](https://genailist.net/model/openai/instructgpt-350m.md) - [InstructGPT 6B](https://genailist.net/model/openai/instructgpt-6b.md) - [InstructPLM](https://genailist.net/model/zhejiang-lab/instructplm.md) - [Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-Terminal Coding Sequences](https://genailist.net/model/national-university-of-singapore/integrating-deep-learning-and-synthetic-biology-a-co-design-approach-for-enhancing-gene-expression-via-n-terminal-coding-sequences.md) - [Intel Aurora 1T](https://genailist.net/model/intel/intel-aurora-1t.md) - [Intelligent Go-Explore (IGE)](https://genailist.net/model/university-of-british-columbia-ubc/intelligent-go-explore-ige.md) - [Intern-S2 Preview 397B](https://genailist.net/model/shanghai-ai-lab/intern-s2-preview-397b.md) - [Intern-S2-Preview](https://genailist.net/model/shanghai-ai-laboratory/intern-s2-preview.md) - [InternImage](https://genailist.net/model/shanghai-ai-lab/internimage.md) - [InternLM](https://genailist.net/model/shanghai-ai-lab/internlm.md) - [InternLM-XComposer](https://genailist.net/model/shanghai-ai-lab/internlm-xcomposer.md) - [InternLM2-20B](https://genailist.net/model/shanghai-ai-lab/internlm2-20b.md) - [InternLM2.5](https://genailist.net/model/shanghai-ai-lab/internlm2-5.md) - [InternLM3](https://genailist.net/model/shanghai-ai-lab/internlm3.md) - [InternLM3-8B-Instruct](https://genailist.net/model/shanghai-ai-laboratory/internlm3-8b-instruct.md) - [InternVL](https://genailist.net/model/shanghai-ai-lab/internvl.md) - [InternVL1.5](https://genailist.net/model/shanghai-ai-lab/internvl1-5.md) - [InternVL2 26B](https://genailist.net/model/shanghai-ai-lab/internvl2-26b.md) - [InternVL2-40B](https://genailist.net/model/shanghai-ai-lab/internvl2-40b.md) - [InternVL2-Llama3-76B](https://genailist.net/model/shanghai-ai-lab/internvl2-llama3-76b.md) - [InternVL2_5-26B](https://genailist.net/model/shanghai-ai-lab/internvl2-5-26b.md) - [InternVL2_5-38B](https://genailist.net/model/shanghai-ai-lab/internvl2-5-38b.md) - [InternVL2_5-78B](https://genailist.net/model/shanghai-ai-lab/internvl2-5-78b.md) - [InternViT-6B](https://genailist.net/model/shanghai-ai-lab/internvit-6b.md) - [Invariant CNN](https://genailist.net/model/new-york-university-nyu/invariant-cnn.md) - [Invariant image recognition](https://genailist.net/model/complutense-university-of-madrid/invariant-image-recognition.md) - [Inworld Realtime TTS-2](https://genailist.net/model/inworld-ai/inworld-realtime-tts-2.md) - [JEST++](https://genailist.net/model/google-deepmind/jest.md) - [JEST-L++](https://genailist.net/model/deepmind/jest-l.md) - [JFT](https://genailist.net/model/google-research/jft.md) - [JIANG](https://genailist.net/model/k-d-feddersen-kdf/jiang.md) - [JIUTIAN-139MoE](https://genailist.net/model/china-mobile/jiutian-139moe.md) - [JPMAX](https://genailist.net/model/unknown/jpmax.md) - [JURA Bio Model](https://genailist.net/model/jura-bio/jura-bio-model.md) - [Jaeger](https://genailist.net/model/university-medicine-greifswald/jaeger.md) - [Jais](https://genailist.net/model/cerebras-systems/jais.md) - [Jais-30b (phase 1)](https://genailist.net/model/cerebras-systems/jais-30b-phase-1.md) - [Jais-70B](https://genailist.net/model/g42/jais-70b.md) - [Jamba](https://genailist.net/model/ai21-labs/jamba.md) - [Jamba 1.5 Mini](https://genailist.net/model/ai21-labs/jamba-1-5-mini.md) - [Jamba 1.5-Large](https://genailist.net/model/ai21-labs/jamba-1-5-large.md) - [Jamba 1.6](https://genailist.net/model/ai21-labs/jamba-1-6.md) - [Jamba 1.6 Large](https://genailist.net/model/ai21-labs/jamba-1-6-large.md) - [Jamba 1.6 Mini](https://genailist.net/model/ai21-labs/jamba-1-6-mini.md) - [Jamba 1.7](https://genailist.net/model/ai21-labs/jamba-1-7.md) - [Jamba Reasoning 3B](https://genailist.net/model/ai21-labs/jamba-reasoning-3b.md) - [Janus 1.3B](https://genailist.net/model/deepseek/janus-1-3b.md) - [Janus-Pro-1B](https://genailist.net/model/deepseek/janus-pro-1b.md) - [Janus-Pro-7B](https://genailist.net/model/deepseek/janus-pro-7b.md) - [Japanese StableLM Base Alpha 7B](https://genailist.net/model/stability-ai/japanese-stablelm-base-alpha-7b.md) - [Japanese-GPT-1B](https://genailist.net/model/rinna/japanese-gpt-1b.md) - [Japanese-LM-3.6B](https://genailist.net/model/line-corporation/japanese-lm-3-6b.md) - [JetFire (GPT2-LARGE)](https://genailist.net/model/tsinghua-university/jetfire-gpt2-large.md) - [Jina Reranker v3.5](https://genailist.net/model/jina-ai/jina-reranker-v3-5.md) - [Jinshi (金石大模型)](https://genailist.net/model/wuxi-sixiang-digital-intelligence-technology-co/jinshi.md) - [Jiutian](https://genailist.net/model/china-mobile/jiutian.md) - [Jueqing LLM (觉卿大模型)](https://genailist.net/model/suzhou-jueqing-diyu-intelligent-technology/jueqing-llm.md) - [Jurassic-1-Jumbo](https://genailist.net/model/ai21-labs/jurassic-1-jumbo.md) - [K-EXAONE 2.0](https://genailist.net/model/lg-ai-research/k-exaone-2-0.md) - [K2 Think](https://genailist.net/model/mohamed-bin-zayed-university-of-artificial-intelligence-mbzuai/k2-think.md) - [KEPLER](https://genailist.net/model/tsinghua-university/kepler.md) - [KN-LM](https://genailist.net/model/google/kn-lm.md) - [KN5 LM + RNN 400/10 (WSJ)](https://genailist.net/model/brno-university-of-technology/kn5-lm-rnn-400-10-wsj.md) - [Kanana 2](https://genailist.net/model/kakao/kanana-2.md) - [Kandinsky 5.0 Video Lite](https://genailist.net/model/sber/kandinsky-5-0-video-lite.md) - [Kandinsky 6.0 Image](https://genailist.net/model/sber/kandinsky-6-0-image.md) - [Karakuri LM](https://genailist.net/model/karakuri-inc/karakuri-lm.md) - [KataGo](https://genailist.net/model/jane-street/katago.md) - [KeAP](https://genailist.net/model/the-university-of-hong-kong/keap.md) - [KeTu (Kolors)](https://genailist.net/model/kuaishou-technology/ketu-kolors.md) - [Kevin-32B](https://genailist.net/model/cognition/kevin-32b.md) - [Kimi 1.6](https://genailist.net/model/moonshot/kimi-1-6.md) - [Kimi Dev 72b](https://genailist.net/model/moonshot/kimi-dev-72b.md) - [Kimi Explorer](https://genailist.net/model/moonshot/kimi-explorer.md) - [Kimi K2](https://genailist.net/model/moonshot/kimi-k2.md) - [Kimi K2 Thinking](https://genailist.net/model/moonshot/kimi-k2-thinking.md) - [Kimi K2.5](https://genailist.net/model/moonshot/kimi-k2-5.md) - [Kimi K2.6](https://genailist.net/model/moonshot/kimi-k2-6.md) - [Kimi K2.7 Code](https://genailist.net/model/moonshot-ai/kimi-k2-7-code.md) - [Kimi K3](https://genailist.net/model/moonshot-ai/kimi-k3.md) - [Kimi Linear](https://genailist.net/model/moonshot/kimi-linear.md) - [Kimi k1.5](https://genailist.net/model/moonshot/kimi-k1-5.md) - [Kimi-VL](https://genailist.net/model/moonshot/kimi-vl.md) - [KinoML](https://genailist.net/model/charit-universit-tsmedizin-berlin/kinoml.md) - [Kling](https://genailist.net/model/kuaishou-technology/kling.md) - [Kling 1.5 Pro](https://genailist.net/model/kuaishou-technology/kling-1-5-pro.md) - [Kling 1.6 Pro](https://genailist.net/model/kuaishou-technology/kling-1-6-pro.md) - [Kling 2.0 Video Generation](https://genailist.net/model/kuaishou-technology/kling-2-0-video-generation.md) - [Kling 2.1](https://genailist.net/model/kuaishou-technology/kling-2-1.md) - [Kling 2.5 Turbo](https://genailist.net/model/kuaishou-technology/kling-2-5-turbo.md) - [Kling 3.0](https://genailist.net/model/kuaishou-technology/kling-3-0.md) - [Kling 3.0 Turbo](https://genailist.net/model/kuaishou/kling-3-0-turbo.md) - [KnGPT2](https://genailist.net/model/huawei-noah-s-ark-lab/kngpt2.md) - [KnoMol](https://genailist.net/model/zhejiang-university-zju/knomol.md) - [Knowledge distillation student model](https://genailist.net/model/harvard-university/knowledge-distillation-student-model.md) - [KoGPT](https://genailist.net/model/kakao/kogpt.md) - [Kokoro v0.19](https://genailist.net/model/hexgrad/kokoro-v0-19.md) - [Kokoro v1.0](https://genailist.net/model/hexgrad/kokoro-v1-0.md) - [Kolors 2.0 Image Generation](https://genailist.net/model/kuaishou-technology/kolors-2-0-image-generation.md) - [Konan LLM 13B](https://genailist.net/model/konan-technology/konan-llm-13b.md) - [Konan LLM 41B](https://genailist.net/model/konan-technology/konan-llm-41b.md) - [Kongtian Lingmou 3.0](https://genailist.net/model/unknown/kongtian-lingmou-3-0.md) - [Kosmos-1](https://genailist.net/model/microsoft/kosmos-1.md) - [Kosmos-2](https://genailist.net/model/microsoft/kosmos-2.md) - [Kosmos-2.5](https://genailist.net/model/microsoft/kosmos-2-5.md) - [Krea 2](https://genailist.net/model/krea/krea-2.md) - [Krea 2 Open-Source](https://genailist.net/model/krea/krea-2-open-source.md) - [KwaiYii 13B](https://genailist.net/model/kuaishou-technology/kwaiyii-13b.md) - [KwaiYii 175B](https://genailist.net/model/kuaishou-technology/kwaiyii-175b.md) - [KwaiYiiMath](https://genailist.net/model/kuaishou-technology/kwaiyiimath.md) - [KwooGr](https://genailist.net/model/harbin-institute-of-technology/kwoogr.md) - [KwooLa](https://genailist.net/model/harbin-institute-of-technology/kwoola.md) - [KwooVa](https://genailist.net/model/harbin-institute-of-technology/kwoova.md) - [LBL](https://genailist.net/model/university-college-london-ucl/lbl.md) - [LBSTER](https://genailist.net/model/prescient-design/lbster.md) - [LCNP LabelMe](https://genailist.net/model/university-of-bonn/lcnp-labelme.md) - [LCNP MNIST](https://genailist.net/model/unknown/lcnp-mnist.md) - [LCNP NORB](https://genailist.net/model/unknown/lcnp-norb.md) - [LDA](https://genailist.net/model/stanford-university/lda.md) - [LDM-1.45B](https://genailist.net/model/heidelberg-university/ldm-1-45b.md) - [LEGO](https://genailist.net/model/chinese-academy-of-sciences/lego.md) - [LEP-AD](https://genailist.net/model/king-abdullah-university-of-science-and-technology-kaust/lep-ad.md) - [LF-MMI](https://genailist.net/model/johns-hopkins-university/lf-mmi.md) - [LFM 40B](https://genailist.net/model/liquid/lfm-40b.md) - [LFM2.5-8B-A1B](https://genailist.net/model/liquid-ai/lfm2-5-8b-a1b.md) - [LFM2.5-ColBERT-350M](https://genailist.net/model/liquid-ai/lfm2-5-colbert-350m.md) - [LFM2.5-Embedding-350M](https://genailist.net/model/liquid-ai/lfm2-5-embedding-350m.md) - [LIMA](https://genailist.net/model/meta-ai/lima.md) - [LIMoE-H/14](https://genailist.net/model/google/limoe-h-14.md) - [LINGO-2](https://genailist.net/model/wayve/lingo-2.md) - [LISSOM](https://genailist.net/model/university-of-texas-at-austin/lissom.md) - [LLPS](https://genailist.net/model/instadeep/llps.md) - [LLaDA](https://genailist.net/model/renmin-university-of-china/llada.md) - [LLaDA2.2 Flash](https://genailist.net/model/ant-group/llada2-2-flash.md) - [LLaMA-13B](https://genailist.net/model/meta-ai/llama-13b.md) - [LLaMA-13B (LoRA finetuned)](https://genailist.net/model/naver/llama-13b-lora-finetuned.md) - [LLaMA-3-Instruct-8B](https://genailist.net/model/meta-ai/llama-3-instruct-8b.md) - [LLaMA-33B](https://genailist.net/model/meta-ai/llama-33b.md) - [LLaMA-33B (LoRA finetuned)](https://genailist.net/model/naver/llama-33b-lora-finetuned.md) - [LLaMA-65B](https://genailist.net/model/meta-ai/llama-65b.md) - [LLaMA-65B (LoRA finetuned)](https://genailist.net/model/naver/llama-65b-lora-finetuned.md) - [LLaMA-7B](https://genailist.net/model/meta-ai/llama-7b.md) - [LLaMA-7B (LoRA finetuned)](https://genailist.net/model/naver/llama-7b-lora-finetuned.md) - [LLaMA-7B (protein-oriented instruction-tuned)](https://genailist.net/model/zhejiang-university-zju/llama-7b-protein-oriented-instruction-tuned.md) - [LLaMAntino-2](https://genailist.net/model/university-of-bari/llamantino-2.md) - [LLaMAntino-3 ANITA 8B](https://genailist.net/model/university-of-bari/llamantino-3-anita-8b.md) - [LLaVA](https://genailist.net/model/university-of-wisconsin-madison/llava.md) - [LLaVA + LVIS-INSTRUCT4V](https://genailist.net/model/fudan-university/llava-lvis-instruct4v.md) - [LLaVA 1.5](https://genailist.net/model/university-of-wisconsin-madison/llava-1-5.md) - [LLaVA-CoT](https://genailist.net/model/peking-university/llava-cot.md) - [LLaVA-MORE 8B](https://genailist.net/model/aimagelab/llava-more-8b.md) - [LLaVA-NeXT-32B-Qwen](https://genailist.net/model/lmms-lab/llava-next-32b-qwen.md) - [LLaVA-NeXT-32B-Qwen](https://genailist.net/model/qwen/llava-next-32b-qwen.md) - [LLaVA-NeXT-34B (LLaVA-1.6)](https://genailist.net/model/university-of-wisconsin-madison/llava-next-34b-llava-1-6.md) - [LLaVA-OV-72B](https://genailist.net/model/bytedance/llava-ov-72b.md) - [LLaVA-OV-7B](https://genailist.net/model/bytedance/llava-ov-7b.md) - [LLama 3..2 Typhoon 2 1B](https://genailist.net/model/typhoon-scb-10x/llama-3-2-typhoon-2-1b.md) - [LLama 3.2 Typhoon 2 3B](https://genailist.net/model/typhoon-scb-10x/llama-3-2-typhoon-2-3b.md) - [LM-Design](https://genailist.net/model/bytedance/lm-design.md) - [LM-GVP](https://genailist.net/model/amazon-machine-learning-solutions-lab/lm-gvp.md) - [LMICA](https://genailist.net/model/unknown/lmica.md) - [LMRec](https://genailist.net/model/naver/lmrec.md) - [LMSI-Palm](https://genailist.net/model/google/lmsi-palm.md) - [LRR-4X](https://genailist.net/model/uc-irvine/lrr-4x.md) - [LRSO-GAN](https://genailist.net/model/university-of-technology-sydney/lrso-gan.md) - [LSTM](https://genailist.net/model/technical-university-of-munich/lstm.md) - [LSTM (Hebbian, Cache, MbPA)](https://genailist.net/model/deepmind/lstm-hebbian-cache-mbpa.md) - [LSTM (PTB)](https://genailist.net/model/facebook-ai-research/lstm-ptb.md) - [LSTM (WT103)](https://genailist.net/model/facebook-ai-research/lstm-wt103.md) - [LSTM (WT2)](https://genailist.net/model/facebook-ai-research/lstm-wt2.md) - [LSTM + dynamic eval](https://genailist.net/model/university-of-edinburgh/lstm-dynamic-eval.md) - [LSTM LM](https://genailist.net/model/rwth-aachen-university/lstm-lm.md) - [LSTM(large)+Sememe+cell](https://genailist.net/model/tsinghua-university/lstm-large-sememe-cell.md) - [LSTM(medium)+Sememe+cell (WT2)](https://genailist.net/model/tsinghua-university/lstm-medium-sememe-cell-wt2.md) - [LSTM+GraB](https://genailist.net/model/cornell-university/lstm-grab.md) - [LSTM+NeuralCache](https://genailist.net/model/ku-leuven/lstm-neuralcache.md) - [LSTM+Noise(Beta)](https://genailist.net/model/columbia-university/lstm-noise-beta.md) - [LSTM-3-layer+Gadam](https://genailist.net/model/university-of-oxford/lstm-3-layer-gadam.md) - [LSTM-Char-Large](https://genailist.net/model/harvard-university/lstm-char-large.md) - [LSTM-Medium+Behaviorial-Gating (PTB)](https://genailist.net/model/university-of-southern-california/lstm-medium-behaviorial-gating-ptb.md) - [LSTM-MemoryAug (PTB)](https://genailist.net/model/johns-hopkins-university/lstm-memoryaug-ptb.md) - [LSTM-MemoryAug (WT2)](https://genailist.net/model/johns-hopkins-university/lstm-memoryaug-wt2.md) - [LTE speaker verification system](https://genailist.net/model/ibm/lte-speaker-verification-system.md) - [LTM](https://genailist.net/model/murdoch-university/ltm.md) - [LTM-1](https://genailist.net/model/magic/ltm-1.md) - [LTX-Video-0.9.1. 2B](https://genailist.net/model/lightricks/ltx-video-0-9-1-2b.md) - [LTX-Video-0.9.5. 2B](https://genailist.net/model/lightricks/ltx-video-0-9-5-2b.md) - [LTX-Video-0.9.7. 13B](https://genailist.net/model/lightricks/ltx-video-0-9-7-13b.md) - [LTX-Video-0.9.7. 13B](https://genailist.net/model/lightricks/ltx-video-0-9-7-13b-1.md) - [LTX-Video-0.9.7. 13B distilled](https://genailist.net/model/lightricks/ltx-video-0-9-7-13b-distilled.md) - [LUKE](https://genailist.net/model/university-of-washington/luke.md) - [LUXIA-21.4B-Alignment](https://genailist.net/model/saltlux/luxia-21-4b-alignment.md) - [LaDI-VTON](https://genailist.net/model/aimagelab/ladi-vton.md) - [LaMDA](https://genailist.net/model/google/lamda.md) - [LaNet-L (CIFAR-10)](https://genailist.net/model/brown-university/lanet-l-cifar-10.md) - [LaSER-Qwen3-0.6B](https://genailist.net/model/qwen/laser-qwen3-0-6b.md) - [LaSER-Qwen3-4B](https://genailist.net/model/qwen/laser-qwen3-4b.md) - [LaSER-Qwen3-8B](https://genailist.net/model/qwen/laser-qwen3-8b.md) - [Laguna S 2.1](https://genailist.net/model/poolside/laguna-s-2-1.md) - [Lantu (蓝图大模型)](https://genailist.net/model/beijing-bitauto-interactive-advertising-company-limited/lantu.md) - [Lara Think](https://genailist.net/model/translated/lara-think.md) - [Lara V1](https://genailist.net/model/translated/lara-v1.md) - [Lara V2](https://genailist.net/model/translated/lara-v2.md) - [Large regularized LSTM](https://genailist.net/model/new-york-university-nyu/large-regularized-lstm.md) - [LateOn-Code](https://genailist.net/model/lighton/lateon-code.md) - [LateOn-Code-edge](https://genailist.net/model/lighton/lateon-code-edge.md) - [Latent semantic analysis](https://genailist.net/model/university-of-chicago/latent-semantic-analysis.md) - [Layer Normalization: Draw](https://genailist.net/model/university-of-toronto/layer-normalization-draw.md) - [Layer Normalization: Handwriting sequence generation](https://genailist.net/model/university-of-toronto/layer-normalization-handwriting-sequence-generation.md) - [Layer Normalization: Skip Thoughts](https://genailist.net/model/university-of-toronto/layer-normalization-skip-thoughts.md) - [Layer Normalization: The Attentive Reader](https://genailist.net/model/university-of-toronto/layer-normalization-the-attentive-reader.md) - [Layer-Norm Fast Weights RNN](https://genailist.net/model/university-of-toronto/layer-norm-fast-weights-rnn.md) - [LeNet-5](https://genailist.net/model/at-t/lenet-5.md) - [Le_Triomphant-ECE-TW3](https://genailist.net/model/french-engineering-school-ece/le-triomphant-ece-tw3.md) - [LearnLM-Tutor](https://genailist.net/model/google-research/learnlm-tutor.md) - [Learnability theory of language development](https://genailist.net/model/massachusetts-institute-of-technology-mit/learnability-theory-of-language-development.md) - [Learning deep architectures](https://genailist.net/model/unknown/learning-deep-architectures.md) - [Learning to Order Things](https://genailist.net/model/at-t/learning-to-order-things.md) - [Learning-curve prediction](https://genailist.net/model/at-t/learning-curve-prediction.md) - [Libratus](https://genailist.net/model/carnegie-mellon-university-cmu/libratus.md) - [LightOn Mini](https://genailist.net/model/lighton/lighton-mini.md) - [Lightweight Fine-tuning a Pretrained Protein Language Model for Protein Secondary](https://genailist.net/model/henan-university/lightweight-fine-tuning-a-pretrained-protein-language-model-for-protein-secondary.md) - [LinGan VL (临感VL)](https://genailist.net/model/beijing-58-information-technology/lingan-vl-vl.md) - [LinOSS](https://genailist.net/model/massachusetts-institute-of-technology-mit/linoss.md) - [Linear Decision Functions](https://genailist.net/model/bell-laboratories/linear-decision-functions.md) - [Linear Transformer (large)](https://genailist.net/model/idsia/linear-transformer-large.md) - [Linear Transformer (small)](https://genailist.net/model/idsia/linear-transformer-small.md) - [Ling-1T](https://genailist.net/model/ant-group/ling-1t.md) - [Ling-3.0-Flash](https://genailist.net/model/ant-group/ling-3-0-flash.md) - [Ling-Plus ("Bailing")](https://genailist.net/model/ant-group/ling-plus-bailing.md) - [Ling-flash-base-2.0-20T](https://genailist.net/model/ant-group/ling-flash-base-2-0-20t.md) - [Ling-lite-1.5 ("Bailing")](https://genailist.net/model/ant-group/ling-lite-1-5-bailing.md) - [Ling-mini-base-2.0-20T](https://genailist.net/model/ant-group/ling-mini-base-2-0-20t.md) - [LingBot-Video](https://genailist.net/model/lingbot/lingbot-video.md) - [Lingju Lingnao](https://genailist.net/model/guangzhou-lingju-information-technology-co-ltd/lingju-lingnao.md) - [LingoWhale-8B](https://genailist.net/model/deeplang-ai/lingowhale-8b.md) - [Listen, Attend and Spell](https://genailist.net/model/google/listen-attend-and-spell.md) - [Llama 2-13B](https://genailist.net/model/meta-ai/llama-2-13b.md) - [Llama 2-34B](https://genailist.net/model/meta-ai/llama-2-34b.md) - [Llama 2-70B](https://genailist.net/model/meta-ai/llama-2-70b.md) - [Llama 2-7B](https://genailist.net/model/meta-ai/llama-2-7b.md) - [Llama 3-70B](https://genailist.net/model/meta-ai/llama-3-70b.md) - [Llama 3-8B](https://genailist.net/model/meta-ai/llama-3-8b.md) - [Llama 3-TAIDE-LX-8B-Chat-Alpha1](https://genailist.net/model/national-science-and-technology-council/llama-3-taide-lx-8b-chat-alpha1.md) - [Llama 3.1 Typhoon 2 70B](https://genailist.net/model/typhoon-scb-10x/llama-3-1-typhoon-2-70b.md) - [Llama 3.1 Typhoon 2 8B](https://genailist.net/model/typhoon-scb-10x/llama-3-1-typhoon-2-8b.md) - [Llama 3.1-405B](https://genailist.net/model/meta-ai/llama-3-1-405b.md) - [Llama 3.1-70B](https://genailist.net/model/meta-ai/llama-3-1-70b.md) - [Llama 3.1-8B](https://genailist.net/model/meta-ai/llama-3-1-8b.md) - [Llama 3.2 11B](https://genailist.net/model/meta-ai/llama-3-2-11b.md) - [Llama 3.2 1B](https://genailist.net/model/meta-ai/llama-3-2-1b.md) - [Llama 3.2 3B](https://genailist.net/model/meta-ai/llama-3-2-3b.md) - [Llama 3.2 90B](https://genailist.net/model/meta-ai/llama-3-2-90b.md) - [Llama 3.3 70B](https://genailist.net/model/meta-ai/llama-3-3-70b.md) - [Llama 4 Behemoth (preview)](https://genailist.net/model/meta-ai/llama-4-behemoth-preview.md) - [Llama 4 Maverick](https://genailist.net/model/meta-ai/llama-4-maverick.md) - [Llama 4 Scout](https://genailist.net/model/meta-ai/llama-4-scout.md) - [Llama 4 Scout + ScaleRL](https://genailist.net/model/meta-ai/llama-4-scout-scalerl.md) - [Llama Guard](https://genailist.net/model/meta-ai/llama-guard.md) - [Llama Nemotron Nano 8B](https://genailist.net/model/nvidia/llama-nemotron-nano-8b.md) - [Llama Nemotron Super 49B](https://genailist.net/model/nvidia/llama-nemotron-super-49b.md) - [Llama Nemotron Super v1.5](https://genailist.net/model/nvidia/llama-nemotron-super-v1-5.md) - [Llama Nemotron Ultra 253B](https://genailist.net/model/nvidia/llama-nemotron-ultra-253b.md) - [Llama SEA-LION V2 8B](https://genailist.net/model/ai-singapore/llama-sea-lion-v2-8b-1.md) - [Llama-2-Chinese 13B](https://genailist.net/model/flagalpha/llama-2-chinese-13b.md) - [Llama-3 8B ITA](https://genailist.net/model/deepmount00/llama-3-8b-ita.md) - [Llama-3-70B-Synthia-v3.5](https://genailist.net/model/unknown/llama-3-70b-synthia-v3-5.md) - [Llama-3-Taiwan-70B](https://genailist.net/model/national-taiwan-university/llama-3-taiwan-70b.md) - [Llama-3.1 Nemotron Nano 8B](https://genailist.net/model/nvidia/llama-3-1-nemotron-nano-8b.md) - [Llama-3.1 Nemotron Nano VL 8B](https://genailist.net/model/nvidia/llama-3-1-nemotron-nano-vl-8b.md) - [Llama-3.1 Nemotron Ultra 253B](https://genailist.net/model/nvidia/llama-3-1-nemotron-ultra-253b.md) - [Llama-3.1-Minitron-4B](https://genailist.net/model/nvidia/llama-3-1-minitron-4b.md) - [Llama-3.1-Nemotron-70B-Instruct](https://genailist.net/model/nvidia/llama-3-1-nemotron-70b-instruct.md) - [Llama-3.3 Nemotron Super 49B v1](https://genailist.net/model/nvidia/llama-3-3-nemotron-super-49b-v1.md) - [Llama-3.3 Nemotron Super 49B v1.5](https://genailist.net/model/nvidia/llama-3-3-nemotron-super-49b-v1-5.md) - [Llama-NV-Embed-Reasoning-3B](https://genailist.net/model/nvidia/llama-nv-embed-reasoning-3b.md) - [Llama-Primus-Nemotron-70B](https://genailist.net/model/trend-micro/llama-primus-nemotron-70b.md) - [Llama-SEA-LION-v2-8B](https://genailist.net/model/unknown/llama-sea-lion-v2-8b.md) - [Llama-SEA-LION-v2-8B-IT](https://genailist.net/model/ai-singapore/llama-sea-lion-v2-8b-it.md) - [Llemma 34B](https://genailist.net/model/princeton-university/llemma-34b.md) - [Llemma 7B](https://genailist.net/model/princeton-university/llemma-7b.md) - [Local Binary Patterns for facial recognition](https://genailist.net/model/university-of-oulu/local-binary-patterns-for-facial-recognition.md) - [Local Transformer (WT103)](https://genailist.net/model/google-research/local-transformer-wt103.md) - [Long-Range Autonomous Off-Road Driving System](https://genailist.net/model/courant-institute-of-mathematical-sciences/long-range-autonomous-off-road-driving-system.md) - [Long-range sequence Compressive Transformers](https://genailist.net/model/deepmind/long-range-sequence-compressive-transformers.md) - [LongCat 2.0](https://genailist.net/model/meituan/longcat-2-0.md) - [LongCat-Flash](https://genailist.net/model/meituan-inc/longcat-flash.md) - [LongCat-Flash-Lite](https://genailist.net/model/meituan/longcat-flash-lite.md) - [LongNet](https://genailist.net/model/microsoft/longnet.md) - [LongT5](https://genailist.net/model/google-research/longt5.md) - [LongVILA-7B](https://genailist.net/model/nvidia/longvila-7b.md) - [LongVU](https://genailist.net/model/meta-ai/longvu.md) - [LoongRL 14B](https://genailist.net/model/microsoft-research-asia/loongrl-14b.md) - [LoongRL 7B](https://genailist.net/model/microsoft-research-asia/loongrl-7b.md) - [Loop-Diffusion](https://genailist.net/model/university-of-washington/loop-diffusion.md) - [Low-Cost Collaborative Network](https://genailist.net/model/national-university-of-singapore/low-cost-collaborative-network.md) - [Luca 2.0](https://genailist.net/model/mianbi-intelligence/luca-2-0.md) - [Lucid Origin](https://genailist.net/model/leonardo-ai/lucid-origin.md) - [Luma Dream Machine](https://genailist.net/model/lumalabs/luma-dream-machine.md) - [Luma Photon](https://genailist.net/model/lumalabs/luma-photon.md) - [Luma Photon Flash](https://genailist.net/model/lumalabs/luma-photon-flash.md) - [Luma Ray 1.6](https://genailist.net/model/lumalabs/luma-ray-1-6.md) - [Luma Ray2](https://genailist.net/model/lumalabs/luma-ray2.md) - [Lumiere](https://genailist.net/model/google-research/lumiere.md) - [Lumina-Image-2.0](https://genailist.net/model/shanghai-ai-lab/lumina-image-2-0.md) - [Luminous Sparse](https://genailist.net/model/aleph-alpha/luminous-sparse.md) - [Luminous-base](https://genailist.net/model/aleph-alpha/luminous-base.md) - [Luminous-extended](https://genailist.net/model/aleph-alpha/luminous-extended.md) - [Luminous-supreme](https://genailist.net/model/aleph-alpha/luminous-supreme.md) - [Lyra-Fr 10B](https://genailist.net/model/lighton/lyra-fr-10b.md) - [Lyria](https://genailist.net/model/google-deepmind/lyria.md) - [Lyria 3 Pro](https://genailist.net/model/google-deepmind/lyria-3-pro.md) - [Lyria RealTime](https://genailist.net/model/google-deepmind/lyria-realtime.md) - [M3GNet](https://genailist.net/model/university-of-california-san-diego/m3gnet.md) - [M4-50B](https://genailist.net/model/google/m4-50b.md) - [M6-10T](https://genailist.net/model/alibaba/m6-10t.md) - [M6-T](https://genailist.net/model/alibaba/m6-t.md) - [MADALINE I](https://genailist.net/model/stanford-university/madaline-i.md) - [MADALINE II](https://genailist.net/model/stanford-university/madaline-ii.md) - [MADALINE III](https://genailist.net/model/unknown/madaline-iii.md) - [MADLAD-400 10B](https://genailist.net/model/google-deepmind/madlad-400-10b.md) - [MAGNeT](https://genailist.net/model/meta-ai/magnet.md) - [MAI-Code-1-Flash](https://genailist.net/model/microsoft/mai-code-1-flash.md) - [MAI-Cyber-1-Flash](https://genailist.net/model/microsoft/mai-cyber-1-flash.md) - [MAI-DS-R1](https://genailist.net/model/microsoft/mai-ds-r1.md) - [MAI-Image-1](https://genailist.net/model/microsoft/mai-image-1.md) - [MAI-Image-2](https://genailist.net/model/microsoft/mai-image-2.md) - [MAI-Image-2.5](https://genailist.net/model/microsoft/mai-image-2-5.md) - [MAI-Image-2.5-Pro](https://genailist.net/model/microsoft/mai-image-2-5-pro.md) - [MAI-Thinking-1](https://genailist.net/model/microsoft/mai-thinking-1.md) - [MAI-Transcribe-1](https://genailist.net/model/microsoft/mai-transcribe-1.md) - [MAI-Transcribe-1.5](https://genailist.net/model/microsoft/mai-transcribe-1-5.md) - [MAI-Voice-1](https://genailist.net/model/microsoft/mai-voice-1.md) - [MAI-Voice-2](https://genailist.net/model/microsoft/mai-voice-2.md) - [MAP-Neo](https://genailist.net/model/university-of-waterloo/map-neo.md) - [MASSA](https://genailist.net/model/guangdong-hong-kong-macao-joint-laboratory-of-human-machine-intelligence-synergy-systems/massa.md) - [MBP](https://genailist.net/model/university-of-science-and-technology-of-china-ustc/mbp.md) - [MCDNN (MNIST)](https://genailist.net/model/idsia/mcdnn-mnist.md) - [MEB](https://genailist.net/model/microsoft/meb.md) - [MEGNet (crystal band gap model)](https://genailist.net/model/university-of-california-san-diego/megnet-crystal-band-gap-model.md) - [MEGNet (crystal elasticity model)](https://genailist.net/model/university-of-california-san-diego/megnet-crystal-elasticity-model.md) - [MEGNet (crystal formation energy model)](https://genailist.net/model/university-of-california-san-diego/megnet-crystal-formation-energy-model.md) - [MEGNet (molecule model)](https://genailist.net/model/university-of-california-san-diego/megnet-molecule-model.md) - [MENACE](https://genailist.net/model/university-of-edinburgh/menace.md) - [METL-Global](https://genailist.net/model/university-of-wisconsin-madison/metl-global.md) - [MGK 4 heads (medium)](https://genailist.net/model/fpt-software-ai-center/mgk-4-heads-medium.md) - [MGK 8 heads (small)](https://genailist.net/model/fpt-software-ai-center/mgk-8-heads-small.md) - [MIF-ST](https://genailist.net/model/microsoft-research/mif-st.md) - [MLDD3UTRmRRNAS](https://genailist.net/model/ginkgo-bioworks/mldd3utrmrrnas.md) - [MLN-ASR](https://genailist.net/model/mcgill-university/mln-asr.md) - [MLP as Bayesian Approximator](https://genailist.net/model/unknown/mlp-as-bayesian-approximator.md) - [MLP baggage detector](https://genailist.net/model/science-applications-international-corporation-saic/mlp-baggage-detector.md) - [MLP with back-propagation](https://genailist.net/model/university-of-california-san-diego/mlp-with-back-propagation.md) - [MM1-30B](https://genailist.net/model/apple/mm1-30b.md) - [MMAPLE](https://genailist.net/model/city-university-of-new-york/mmaple.md) - [MMLSTM (PTB)](https://genailist.net/model/beijing-university-of-posts-and-telecommunications/mmlstm-ptb.md) - [MMLSTM (WT-103)](https://genailist.net/model/beijing-university-of-posts-and-telecommunications/mmlstm-wt-103.md) - [MMLSTM (WT-2)](https://genailist.net/model/beijing-university-of-posts-and-telecommunications/mmlstm-wt-2.md) - [MMS-1B](https://genailist.net/model/meta-ai/mms-1b.md) - [MOSS-Moon-003](https://genailist.net/model/fudan-university/moss-moon-003.md) - [MOSS-VL-Realtime](https://genailist.net/model/openmoss/moss-vl-realtime.md) - [MP4](https://genailist.net/model/310-ai/mp4.md) - [MPDF](https://genailist.net/model/chinese-university-of-hong-kong-cuhk/mpdf.md) - [MPNNsol](https://genailist.net/model/ecole-polytechnique-f-ed-erale-de-lausanne-epfl/mpnnsol.md) - [MPT-30B](https://genailist.net/model/mosaicml/mpt-30b.md) - [MPT-7B](https://genailist.net/model/mosaicml/mpt-7b.md) - [MS-CNN](https://genailist.net/model/ibm/ms-cnn.md) - [MS-ensemble-speech-recognition](https://genailist.net/model/microsoft/ms-ensemble-speech-recognition.md) - [MSA Transformer](https://genailist.net/model/facebook-ai-research/msa-transformer.md) - [MSRA (C, PReLU)](https://genailist.net/model/microsoft-research/msra-c-prelu.md) - [MT-DNN](https://genailist.net/model/microsoft/mt-dnn.md) - [MTDP](https://genailist.net/model/chinese-university-of-hong-kong-cuhk/mtdp.md) - [MULAN](https://genailist.net/model/airi-artificial-intelligence-research-institute/mulan.md) - [MUSIC perceptron](https://genailist.net/model/unknown/music-perceptron.md) - [Machine learning a model for RNA structure prediction](https://genailist.net/model/international-school-for-advanced-studies/machine-learning-a-model-for-rna-structure-prediction.md) - [Maestrale Chat v0.4](https://genailist.net/model/mii-llm/maestrale-chat-v04.md) - [Mage-Flow](https://genailist.net/model/microsoft/mage-flow.md) - [Magenta RealTime 2](https://genailist.net/model/google-deepmind/magenta-realtime-2.md) - [Magic Cube](https://genailist.net/model/unknown/magic-cube.md) - [Magic LLM (魔法大模型)](https://genailist.net/model/shenzhen-honor-software-technology/magic-llm.md) - [Magistral Medium 1.1](https://genailist.net/model/mistral-ai/magistral-medium-1-1.md) - [Magistral Medium 1.2](https://genailist.net/model/mistral-ai/magistral-medium-1-2.md) - [Magistral Small 1.1](https://genailist.net/model/mistral-ai/magistral-small-1-1.md) - [Magistral Small 1.2](https://genailist.net/model/mistral-ai/magistral-small-1-2.md) - [MahLool](https://genailist.net/model/university-of-rochester/mahlool.md) - [Make-A-Scene](https://genailist.net/model/meta-ai/make-a-scene.md) - [Make-A-Video](https://genailist.net/model/meta-ai/make-a-video.md) - [Mamba 2, 2.7B](https://genailist.net/model/princeton-university/mamba-2-2-7b.md) - [Mamba-2.8B](https://genailist.net/model/carnegie-mellon-university-cmu/mamba-2-8b.md) - [Mamba-24M (SC09)](https://genailist.net/model/carnegie-mellon-university-cmu/mamba-24m-sc09.md) - [Mamba2-Hybrid](https://genailist.net/model/nvidia/mamba2-hybrid.md) - [ManiGaussian](https://genailist.net/model/tsinghua-university/manigaussian.md) - [Marco-o1](https://genailist.net/model/alibaba/marco-o1.md) - [Marey](https://genailist.net/model/moonvalley/marey.md) - [Marey Realism v1.5](https://genailist.net/model/moonvalley/marey-realism-v1-5.md) - [Marin 8B](https://genailist.net/model/marin/marin-8b.md) - [Mask R-CNN](https://genailist.net/model/facebook-ai-research/mask-r-cnn.md) - [MaskGIT (ImageNet)](https://genailist.net/model/google-research/maskgit-imagenet.md) - [Masked Autoencoders ViT-H](https://genailist.net/model/facebook-ai-research/masked-autoencoders-vit-h.md) - [MassiveFold](https://genailist.net/model/universit-de-lille/massivefold.md) - [Matedub](https://genailist.net/model/translated/matedub.md) - [MathGPT](https://genailist.net/model/tal-education-group-xueersi/mathgpt.md) - [Mathstral](https://genailist.net/model/mistral-ai/mathstral.md) - [MatterGen](https://genailist.net/model/microsoft-research-ai-for-science/mattergen.md) - [MatterSim (Grpaphomer)](https://genailist.net/model/microsoft-research-ai-for-science/mattersim-grpaphomer.md) - [MatterSim (M3GNet - MatterSim-v1.0.0-5M)](https://genailist.net/model/microsoft-research-ai-for-science/mattersim-m3gnet-mattersim-v1-0-0-5m.md) - [Maxout Networks](https://genailist.net/model/university-of-montreal-universit-de-montr-al/maxout-networks.md) - [McMLP](https://genailist.net/model/harvard-medical-school/mcmlp.md) - [Mdgen](https://genailist.net/model/massachusetts-institute-of-technology-mit/mdgen.md) - [Me Llama 13B](https://genailist.net/model/yale-school-of-medicine/me-llama-13b.md) - [Me Llama 70B](https://genailist.net/model/yale-school-of-medicine/me-llama-70b.md) - [Med-Gemini-2D](https://genailist.net/model/google-deepmind/med-gemini-2d.md) - [Med-Gemini-3D](https://genailist.net/model/google-deepmind/med-gemini-3d.md) - [Med-Gemini-M 1.5](https://genailist.net/model/google-deepmind/med-gemini-m-1-5.md) - [Med-PaLM](https://genailist.net/model/google-research/med-palm.md) - [Med-PaLM 2](https://genailist.net/model/google-research/med-palm-2.md) - [MedBERT](https://genailist.net/model/peng-cheng-laboratory/medbert.md) - [MedGemma 27B](https://genailist.net/model/google/medgemma-27b.md) - [MedLM](https://genailist.net/model/google-cloud/medlm.md) - [MedSigLIP](https://genailist.net/model/google/medsiglip.md) - [Meditron-70B](https://genailist.net/model/ecole-polytechnique-f-ed-erale-de-lausanne-epfl/meditron-70b.md) - [Meena](https://genailist.net/model/google-brain/meena.md) - [MegaMolBART](https://genailist.net/model/nvidia/megamolbart.md) - [MegaScale (175B)](https://genailist.net/model/bytedance/megascale-175b.md) - [MegaScale (530B)](https://genailist.net/model/bytedance/megascale-530b.md) - [MegaScale (Production)](https://genailist.net/model/bytedance/megascale-production.md) - [MegaSyn](https://genailist.net/model/collaborations-pharmaceuticals/megasyn.md) - [Megatron-BERT](https://genailist.net/model/nvidia/megatron-bert.md) - [Megatron-LM (1.2B)](https://genailist.net/model/nvidia/megatron-lm-1-2b.md) - [Megatron-LM (1T)](https://genailist.net/model/microsoft-research/megatron-lm-1t.md) - [Megatron-LM (2.5B)](https://genailist.net/model/nvidia/megatron-lm-2-5b.md) - [Megatron-LM (355M)](https://genailist.net/model/nvidia/megatron-lm-355m.md) - [Megatron-LM (8.3B)](https://genailist.net/model/nvidia/megatron-lm-8-3b.md) - [Megatron-Turing NLG 530B](https://genailist.net/model/microsoft/megatron-turing-nlg-530b.md) - [Megrez-3B-Omni](https://genailist.net/model/infinigence-ai/megrez-3b-omni.md) - [Meissonic](https://genailist.net/model/national-university-of-singapore/meissonic.md) - [MemSizer (language modeling)](https://genailist.net/model/meta-ai/memsizer-language-modeling.md) - [Memformer (4 encoder + 16 decoder)](https://genailist.net/model/uc-davis/memformer-4-encoder-16-decoder.md) - [MemoReader](https://genailist.net/model/samsung/memoreader.md) - [Mengzi-Code-6.7B](https://genailist.net/model/langboat/mengzi-code-6-7b.md) - [Mengzi-Fin-13B](https://genailist.net/model/langboat/mengzi-fin-13b.md) - [Mengzi-Fin-7B](https://genailist.net/model/langboat/mengzi-fin-7b.md) - [Mengzi-Lite](https://genailist.net/model/langboat/mengzi-lite.md) - [MengziGPT-General-13B](https://genailist.net/model/langboat/mengzigpt-general-13b.md) - [MengziGPT-General-40B](https://genailist.net/model/langboat/mengzigpt-general-40b.md) - [MengziGPT-General-7B](https://genailist.net/model/langboat/mengzigpt-general-7b.md) - [Mercury](https://genailist.net/model/inception-labs/mercury.md) - [Mercury 2](https://genailist.net/model/inception-labs/mercury-2.md) - [Mercury Coder Mini](https://genailist.net/model/inception-labs/mercury-coder-mini.md) - [Mercury Coder Small](https://genailist.net/model/inception-labs/mercury-coder-small.md) - [Mesh-TensorFlow Transformer 2.9B (translation)](https://genailist.net/model/google-brain/mesh-tensorflow-transformer-2-9b-translation.md) - [Mesh-TensorFlow Transformer 4.9B (language)](https://genailist.net/model/google-brain/mesh-tensorflow-transformer-4-9b-language.md) - [MetNet](https://genailist.net/model/google/metnet.md) - [Meta Pseudo Labels](https://genailist.net/model/google-brain/meta-pseudo-labels.md) - [MetaLM](https://genailist.net/model/microsoft-research/metalm.md) - [MetaMath 70B](https://genailist.net/model/university-of-cambridge/metamath-70b.md) - [MetaMath 7B (LLaMa finetune)](https://genailist.net/model/university-of-cambridge/metamath-7b-llama-finetune.md) - [MetaMath 7B (Mistral finetune)](https://genailist.net/model/university-of-cambridge/metamath-7b-mistral-finetune.md) - [Mi:dm 200B](https://genailist.net/model/kt/mi-dm-200b.md) - [Mi:dm 7B](https://genailist.net/model/kt/mi-dm-7b.md) - [MiLi (米粒)](https://genailist.net/model/creditease/mili.md) - [MiMo V2.5 DFlash](https://genailist.net/model/xiaomi/mimo-v2-5-dflash.md) - [MiMo-7B-Base](https://genailist.net/model/xiaomi-corp/mimo-7b-base.md) - [MiMo-VL-7B-SFT](https://genailist.net/model/xiaomi-corp/mimo-vl-7b-sft.md) - [MiMo‑VL‑7B‑RL](https://genailist.net/model/xiaomi-corp/mimo-vl-7b-rl.md) - [Microsoft MAI-1](https://genailist.net/model/microsoft/microsoft-mai-1.md) - [Microsoft MAI-Image-2.5-Flash](https://genailist.net/model/microsoft/microsoft-mai-image-2-5-flash.md) - [Microsoft MAI-Voice-2-Flash](https://genailist.net/model/microsoft/microsoft-mai-voice-2-flash.md) - [Mid-level Features](https://genailist.net/model/inria/mid-level-features.md) - [Midjourney V1](https://genailist.net/model/midjourney/midjourney-v1.md) - [Midjourney V6.1](https://genailist.net/model/midjourney/midjourney-v6-1.md) - [Midjourney V7](https://genailist.net/model/midjourney/midjourney-v7.md) - [Midjourney V8](https://genailist.net/model/midjourney/midjourney-v8.md) - [Midjourney V8.1](https://genailist.net/model/midjourney/midjourney-v8-1.md) - [MindEye2](https://genailist.net/model/stability-ai/mindeye2.md) - [MindLink-32B](https://genailist.net/model/kunlun-inc/mindlink-32b.md) - [MindLink-72B](https://genailist.net/model/kunlun-inc/mindlink-72b.md) - [MinerU2.5](https://genailist.net/model/shanghai-ai-lab/mineru2-5.md) - [Minerva (540B)](https://genailist.net/model/google/minerva-540b.md) - [Minerva 1B](https://genailist.net/model/sapienza-nlp/minerva-1b.md) - [Minerva 3B](https://genailist.net/model/sapienza-nlp/minerva-3b.md) - [Minerva 7B](https://genailist.net/model/sapienza-nlp/minerva-7b.md) - [Mingzhi Guwen](https://genailist.net/model/shanghai-shuheng-information-technology-co/mingzhi-guwen.md) - [MiniCPM-1.2B](https://genailist.net/model/tsinghua-university/minicpm-1-2b.md) - [MiniCPM-2.4B](https://genailist.net/model/tsinghua-university/minicpm-2-4b.md) - [MiniCPM-3-4B](https://genailist.net/model/tsinghua-university/minicpm-3-4b.md) - [MiniCPM-4-8B](https://genailist.net/model/openbmb-open-lab-for-big-model-base/minicpm-4-8b.md) - [MiniCPM-RobotManip](https://genailist.net/model/openbmb/minicpm-robotmanip.md) - [MiniCPM-V 2.6](https://genailist.net/model/openbmb-open-lab-for-big-model-base/minicpm-v-2-6.md) - [MiniCPM3.0](https://genailist.net/model/mianbi-intelligence/minicpm3-0.md) - [MiniGPT4 (Vicuna finetune)](https://genailist.net/model/king-abdullah-university-of-science-and-technology-kaust/minigpt4-vicuna-finetune.md) - [MiniGPT4 + LRV-Instruction](https://genailist.net/model/university-of-maryland/minigpt4-lrv-instruction.md) - [MiniMax H3](https://genailist.net/model/minimax/minimax-h3.md) - [MiniMax M2.7](https://genailist.net/model/minimax/minimax-m2-7.md) - [MiniMax M3](https://genailist.net/model/minimax/minimax-m3.md) - [MiniMax Speech-01-HD (T2A-01-HD)](https://genailist.net/model/minimax/minimax-speech-01-hd-t2a-01-hd.md) - [MiniMax Speech-01-turbo (T2A-01-turbo)](https://genailist.net/model/minimax/minimax-speech-01-turbo-t2a-01-turbo.md) - [MiniMax Video-01](https://genailist.net/model/minimax/minimax-video-01.md) - [MiniMax-M1-40k](https://genailist.net/model/minimax/minimax-m1-40k.md) - [MiniMax-M1-80k](https://genailist.net/model/minimax/minimax-m1-80k.md) - [MiniMax-M2](https://genailist.net/model/minimax/minimax-m2.md) - [MiniMax-M2.1](https://genailist.net/model/minimax/minimax-m2-1.md) - [MiniMax-M2.5](https://genailist.net/model/minimax/minimax-m2-5.md) - [MiniMax-Speech-02-turbo](https://genailist.net/model/minimax/minimax-speech-02-turbo.md) - [MiniMax-Text-01](https://genailist.net/model/minimax/minimax-text-01.md) - [MiniMax-VL-01](https://genailist.net/model/minimax/minimax-vl-01.md) - [Minimax Hailuo 02](https://genailist.net/model/minimax/minimax-hailuo-02.md) - [Minimax-Speech-02-HD](https://genailist.net/model/minimax/minimax-speech-02-hd.md) - [Ministral 3 14B](https://genailist.net/model/mistral-ai/ministral-3-14b.md) - [Ministral 3 3B](https://genailist.net/model/mistral-ai/ministral-3-3b.md) - [Ministral 3 8B](https://genailist.net/model/mistral-ai/ministral-3-8b.md) - [Ministral 3B](https://genailist.net/model/mistral-ai/ministral-3b.md) - [Ministral 8B](https://genailist.net/model/mistral-ai/ministral-8b.md) - [Minitron 4B](https://genailist.net/model/nvidia/minitron-4b.md) - [Minitron 8B](https://genailist.net/model/nvidia/minitron-8b.md) - [Mistral 7B](https://genailist.net/model/mistral-ai/mistral-7b.md) - [Mistral 7B + OVM](https://genailist.net/model/chinese-university-of-hong-kong-cuhk/mistral-7b-ovm.md) - [Mistral ITA 7B](https://genailist.net/model/deepmount00/mistral-ita-7b.md) - [Mistral Large](https://genailist.net/model/mistral-ai/mistral-large.md) - [Mistral Large 2](https://genailist.net/model/mistral-ai/mistral-large-2.md) - [Mistral Large 2.1](https://genailist.net/model/mistral-ai/mistral-large-2-1.md) - [Mistral Large 3](https://genailist.net/model/mistral-ai/mistral-large-3.md) - [Mistral Medium](https://genailist.net/model/mistral-ai/mistral-medium.md) - [Mistral Medium 3](https://genailist.net/model/mistral-ai/mistral-medium-3.md) - [Mistral Medium 3.1](https://genailist.net/model/mistral-ai/mistral-medium-3-1.md) - [Mistral Medium 3.5](https://genailist.net/model/mistral-ai/mistral-medium-3-5.md) - [Mistral Moderation](https://genailist.net/model/mistral-ai/mistral-moderation.md) - [Mistral NeMo](https://genailist.net/model/mistral-ai/mistral-nemo.md) - [Mistral OCR](https://genailist.net/model/mistral-ai/mistral-ocr.md) - [Mistral OCR 4](https://genailist.net/model/mistral-ai/mistral-ocr-4.md) - [Mistral Saba](https://genailist.net/model/mistral-ai/mistral-saba.md) - [Mistral Small 3](https://genailist.net/model/mistral-ai/mistral-small-3.md) - [Mistral Small 3.1](https://genailist.net/model/mistral-ai/mistral-small-3-1.md) - [Mistral Small 3.2](https://genailist.net/model/mistral-ai/mistral-small-3-2.md) - [Mistral Small 4](https://genailist.net/model/mistral-ai/mistral-small-4.md) - [Mistral Small Creative](https://genailist.net/model/mistral-ai/mistral-small-creative.md) - [Mistral Small v24.09](https://genailist.net/model/mistral-ai/mistral-small-v24-09.md) - [Mitosis](https://genailist.net/model/idsia/mitosis.md) - [Mixtral 8x22B](https://genailist.net/model/mistral-ai/mixtral-8x22b.md) - [Mixtral 8x7B](https://genailist.net/model/mistral-ai/mixtral-8x7b.md) - [Mixture of linear models](https://genailist.net/model/unknown/mixture-of-linear-models.md) - [Mixture-of-Depths](https://genailist.net/model/google-deepmind/mixture-of-depths.md) - [MnasNet-A1 + SSDLite](https://genailist.net/model/google/mnasnet-a1-ssdlite.md) - [MnasNet-A3](https://genailist.net/model/google/mnasnet-a3.md) - [Mnemonic Reader](https://genailist.net/model/fudan-university/mnemonic-reader.md) - [MoE-1.1T](https://genailist.net/model/meta-ai/moe-1-1t.md) - [MoE-Multi](https://genailist.net/model/jagiellonian-university/moe-multi.md) - [MoEFold2D](https://genailist.net/model/george-washington-university/moefold2d.md) - [MoLFormer-XL](https://genailist.net/model/ibm/molformer-xl.md) - [MoLeR](https://genailist.net/model/microsoft-research/moler.md) - [Mobile V-MoEs](https://genailist.net/model/apple/mobile-v-moes.md) - [MobileCLIP-B (LT)](https://genailist.net/model/apple/mobileclip-b-lt.md) - [MobileWan](https://genailist.net/model/qualcomm/mobilewan.md) - [Mochi 1](https://genailist.net/model/genmo/mochi-1.md) - [Modello Italia 9B](https://genailist.net/model/igenius/italia-9b.md) - [Mogrifier (d2, MC) + dynamic eval](https://genailist.net/model/deepmind/mogrifier-d2-mc-dynamic-eval.md) - [Mogrifier (d2, MoS2, MC) + dynamic eval](https://genailist.net/model/deepmind/mogrifier-d2-mos2-mc-dynamic-eval.md) - [Mogrifier RLSTM (PTB)](https://genailist.net/model/deepmind/mogrifier-rlstm-ptb.md) - [Mogrifier RLSTM (WT2)](https://genailist.net/model/deepmind/mogrifier-rlstm-wt2.md) - [MolMVC](https://genailist.net/model/central-south-university/molmvc.md) - [MolPath](https://genailist.net/model/southwest-petroleum-university/molpath.md) - [MolPhenix](https://genailist.net/model/valence-labs/molphenix.md) - [MolSnapper](https://genailist.net/model/university-of-oxford/molsnapper.md) - [Molecular Diffusion Models with Virtual Receptors](https://genailist.net/model/verily-research/molecular-diffusion-models-with-virtual-receptors.md) - [Molmo 72B](https://genailist.net/model/allen-institute-for-ai/molmo-72b.md) - [MolmoAct 2](https://genailist.net/model/allen-institute-for-ai/molmoact-2.md) - [MolmoAct-7B-D](https://genailist.net/model/allen-institute-for-ai/molmoact-7b-d.md) - [Monarch-GPT-2-Medium](https://genailist.net/model/stanford-university/monarch-gpt-2-medium.md) - [Monarch-GPT-2-Small](https://genailist.net/model/stanford-university/monarch-gpt-2-small.md) - [Mono3D++](https://genailist.net/model/university-of-california-los-angeles-ucla/mono3d.md) - [Monocular Depth Prediction](https://genailist.net/model/stanford-university/monocular-depth-prediction.md) - [MooER](https://genailist.net/model/moore-threads/mooer.md) - [Moonshot-v1](https://genailist.net/model/moonshot/moonshot-v1.md) - [MosaicML Diffusion](https://genailist.net/model/databricks/mosaicml-diffusion.md) - [Mothra](https://genailist.net/model/tokyo-institute-of-technology/mothra.md) - [Motion-Driven 3D Feature Tracking](https://genailist.net/model/unknown/motion-driven-3d-feature-tracking.md) - [Movie Gen Audio](https://genailist.net/model/meta-ai/movie-gen-audio.md) - [Movie Gen Video](https://genailist.net/model/meta-ai/movie-gen-video.md) - [Moxiaoxian](https://genailist.net/model/unknown/moxiaoxian.md) - [MsPBRsP](https://genailist.net/model/zhengzhou-university/mspbrsp.md) - [MuPIPR](https://genailist.net/model/university-of-california-los-angeles-ucla/mupipr.md) - [MuZero](https://genailist.net/model/deepmind/muzero.md) - [MuZero VP9](https://genailist.net/model/deepmind/muzero-vp9.md) - [MuggleMath](https://genailist.net/model/university-of-science-and-technology-of-china-ustc/mugglemath.md) - [Multi-Token Prediction 13B](https://genailist.net/model/facebook-ai-research/multi-token-prediction-13b.md) - [Multi-Token Prediction 7B](https://genailist.net/model/facebook-ai-research/multi-token-prediction-7b.md) - [Multi-cause Binary Clustering](https://genailist.net/model/xerox/multi-cause-binary-clustering.md) - [Multi-cell LSTM](https://genailist.net/model/university-of-hyderabad/multi-cell-lstm.md) - [Multi-scale Dilated CNN](https://genailist.net/model/princeton-university/multi-scale-dilated-cnn.md) - [Multi-task Cascaded CNN](https://genailist.net/model/chinese-academy-of-sciences/multi-task-cascaded-cnn.md) - [MultiBand Diffusion](https://genailist.net/model/meta-ai/multiband-diffusion.md) - [MultiVerse 70B](https://genailist.net/model/mts/multiverse-70b.md) - [Multilingual DNN](https://genailist.net/model/google/multilingual-dnn.md) - [Multilingual-E5-large](https://genailist.net/model/microsoft/multilingual-e5-large.md) - [Multipop Adaptive Continuous Stack (PTB)](https://genailist.net/model/deepmind/multipop-adaptive-continuous-stack-ptb.md) - [Multiscale deformable part model](https://genailist.net/model/uc-irvine/multiscale-deformable-part-model.md) - [Multitask Unified Model (MUM)](https://genailist.net/model/google/multitask-unified-model-mum.md) - [MultiverSeg](https://genailist.net/model/massachusetts-institute-of-technology-mit/multiverseg.md) - [Muse Image](https://genailist.net/model/meta/meta-muse-image.md) - [Muse Spark](https://genailist.net/model/meta/meta-muse-spark.md) - [Muse Spark](https://genailist.net/model/meta-ai/muse-spark.md) - [Muse Spark 1.2](https://genailist.net/model/meta/muse-spark-1-2.md) - [MuseNet](https://genailist.net/model/openai/musenet.md) - [Music v2](https://genailist.net/model/elevenlabs/music-v2.md) - [MusicGen](https://genailist.net/model/meta-ai/musicgen.md) - [MusicLM](https://genailist.net/model/google/musiclm.md) - [N-gram (PTB)](https://genailist.net/model/facebook-ai-research/n-gram-ptb.md) - [N-gram+Cache (PTB)](https://genailist.net/model/facebook-ai-research/n-gram-cache-ptb.md) - [NAEPro](https://genailist.net/model/university-of-california-santa-barbara-ucsb/naepro.md) - [NAS with base 8 and shared embeddings](https://genailist.net/model/google-brain/nas-with-base-8-and-shared-embeddings.md) - [NAS+ESS (156M)](https://genailist.net/model/northeastern-university-china/nas-ess-156m.md) - [NAS+ESS (23M)](https://genailist.net/model/northeastern-university-china/nas-ess-23m.md) - [NASA SMD](https://genailist.net/model/nasa/nasa-smd.md) - [NASv3 (CIFAR-10)](https://genailist.net/model/google-brain/nasv3-cifar-10.md) - [NCP-VAE (CIFAR 10)](https://genailist.net/model/university-of-illinois-urbana-champaign-uiuc/ncp-vae-cifar-10.md) - [NCP-VAE (Celeba HQ)](https://genailist.net/model/university-of-illinois-urbana-champaign-uiuc/ncp-vae-celeba-hq.md) - [NEAT](https://genailist.net/model/ut-austin/neat.md) - [NEC LLM 13B](https://genailist.net/model/nec-laboratories/nec-llm-13b.md) - [NEC cotomi](https://genailist.net/model/nec-corporation/nec-cotomi.md) - [NETtalk reimplementation](https://genailist.net/model/oregon-state-university/nettalk-reimplementation.md) - [NIO World Model (蔚来大模型)](https://genailist.net/model/nio/nio-world-model.md) - [NLLB](https://genailist.net/model/meta-ai/nllb.md) - [NLM](https://genailist.net/model/carnegie-mellon-university-cmu/nlm.md) - [NMST+GPT-2](https://genailist.net/model/new-york-university-nyu/nmst-gpt-2.md) - [NMT Transformer 437M](https://genailist.net/model/google/nmt-transformer-437m.md) - [NOMI GPT](https://genailist.net/model/nio/nomi-gpt.md) - [NPD](https://genailist.net/model/ieee/npd.md) - [NPLM (AP News)](https://genailist.net/model/university-of-montreal-universit-de-montr-al/nplm-ap-news.md) - [NPLM (Brown)](https://genailist.net/model/university-of-montreal-universit-de-montr-al/nplm-brown.md) - [NTM](https://genailist.net/model/google-deepmind/ntm.md) - [NTele-R1-32B-V1](https://genailist.net/model/zte/ntele-r1-32b-v1.md) - [NV-Embed-v1](https://genailist.net/model/nvidia/nv-embed-v1.md) - [NV-Embed-v2](https://genailist.net/model/nvidia/nv-embed-v2.md) - [NVAE (CIFAR 10)](https://genailist.net/model/nvidia/nvae-cifar-10.md) - [NVAE (Celeba HQ)](https://genailist.net/model/nvidia/nvae-celeba-hq.md) - [NVAE (FFHQ)](https://genailist.net/model/nvidia/nvae-ffhq.md) - [NVIDIA Cosmos 3](https://genailist.net/model/nvidia/nvidia-cosmos-3.md) - [NVIDIA Isaac GR00T N1.5 3B](https://genailist.net/model/nvidia/nvidia-isaac-gr00t-n1-5-3b.md) - [NVIDIA Isaac GR00T N1.6](https://genailist.net/model/nvidia/nvidia-isaac-gr00t-n1-6.md) - [NVIDIA Nemotron 3 Nano Omni](https://genailist.net/model/nvidia/nvidia-nemotron-3-nano-omni.md) - [NVIDIA Nemotron 3 Ultra](https://genailist.net/model/nvidia/nvidia-nemotron-3-ultra.md) - [NVIDIA Nemotron 3.5 ASR Streaming 0.6B](https://genailist.net/model/nvidia/nvidia-nemotron-3-5-asr-streaming-0-6b.md) - [NVIDIA Nemotron 3.5 Content Safety](https://genailist.net/model/nvidia/nvidia-nemotron-3-5-content-safety.md) - [NVIDIA-Nemotron-Nano-12B-v2](https://genailist.net/model/nvidia/nvidia-nemotron-nano-12b-v2.md) - [NVIDIA-Nemotron-Nano-9B-v2](https://genailist.net/model/nvidia/nvidia-nemotron-nano-9b-v2.md) - [NVILA 15B](https://genailist.net/model/nvidia/nvila-15b.md) - [NVILA 8B](https://genailist.net/model/nvidia/nvila-8b.md) - [NVLM-D 72B](https://genailist.net/model/nvidia/nvlm-d-72b.md) - [NVLM-H 72B](https://genailist.net/model/nvidia/nvlm-h-72b.md) - [NVLM-X 72B](https://genailist.net/model/nvidia/nvlm-x-72b.md) - [Naive Bayes](https://genailist.net/model/unknown/naive-bayes.md) - [Named Entity Recognition model](https://genailist.net/model/carnegie-mellon-university-cmu/named-entity-recognition-model.md) - [Nanbei Pavilion](https://genailist.net/model/unknown/nanbei-pavilion.md) - [Nanbeige-16B](https://genailist.net/model/nanbeige-llm-lab/nanbeige-16b.md) - [Nanbeige2-16B-Chat](https://genailist.net/model/nanbeige-llm-lab/nanbeige2-16b-chat.md) - [NatureLM-audio](https://genailist.net/model/earth-species-project/naturelm-audio.md) - [NeMO Megatron GPT 20B](https://genailist.net/model/nvidia/nemo-megatron-gpt-20b.md) - [Nebula (星云大模型)](https://genailist.net/model/zte/nebula.md) - [Nemotron 3 Embed 8B](https://genailist.net/model/nvidia/nemotron-3-embed-8b.md) - [Nemotron 3 Nano](https://genailist.net/model/nvidia/nemotron-3-nano.md) - [Nemotron 3 Super](https://genailist.net/model/nvidia/nemotron-3-super.md) - [Nemotron Labs Audex 30B-A3B](https://genailist.net/model/nvidia/nemotron-labs-audex-30b-a3b.md) - [Nemotron Nano 12B V2 VL](https://genailist.net/model/nvidia/nemotron-nano-12b-v2-vl.md) - [Nemotron Nano 9B v2](https://genailist.net/model/nvidia/nemotron-nano-9b-v2.md) - [Nemotron-3-8B](https://genailist.net/model/nvidia/nemotron-3-8b.md) - [Nemotron-4 15B](https://genailist.net/model/nvidia/nemotron-4-15b.md) - [Nemotron-4 340B](https://genailist.net/model/nvidia/nemotron-4-340b.md) - [Nemotron-H 47B](https://genailist.net/model/nvidia/nemotron-h-47b.md) - [Nemotron-H 56B](https://genailist.net/model/nvidia/nemotron-h-56b.md) - [Nemotron-H 8B](https://genailist.net/model/nvidia/nemotron-h-8b.md) - [NeoaPred](https://genailist.net/model/south-china-university-of-technology/neoapred.md) - [Neocognitron](https://genailist.net/model/nhk-broadcasting-science-research-laboratories/neocognitron.md) - [NetSurfP-2.0](https://genailist.net/model/technical-university-of-denmark/netsurfp-2-0.md) - [NetTalk (dictionary)](https://genailist.net/model/princeton-university/nettalk-dictionary.md) - [NetTalk (transcription)](https://genailist.net/model/princeton-university/nettalk-transcription.md) - [Netflix Recommender System](https://genailist.net/model/netflix/netflix-recommender-system.md) - [Network in Network](https://genailist.net/model/national-university-of-singapore/network-in-network.md) - [NeuMF (Pinterest)](https://genailist.net/model/shandong-university/neumf-pinterest.md) - [NeuTTS 2E](https://genailist.net/model/neuphonic/neutt-s-2e.md) - [NeuTTS Nano](https://genailist.net/model/neuphonic/neutts-nano.md) - [Neural LM](https://genailist.net/model/university-of-montreal-universit-de-montr-al/neural-lm.md) - [Neural cache model (size=2000)](https://genailist.net/model/facebook-ai-research/neural-cache-model-size-2000.md) - [Neuro-Symbolic Concept Learner](https://genailist.net/model/massachusetts-institute-of-technology-mit/neuro-symbolic-concept-learner.md) - [NeuroChess](https://genailist.net/model/unknown/neurochess.md) - [New Intelligent Q&A](https://genailist.net/model/unknown/new-intelligent-q-a.md) - [NexusRaven-V2](https://genailist.net/model/nexusflow/nexusraven-v2.md) - [Ngram corpus](https://genailist.net/model/google/ngram-corpus.md) - [NoPos](https://genailist.net/model/tel-aviv-university/nopos.md) - [Noisy Student (L2)](https://genailist.net/model/carnegie-mellon-university-cmu/noisy-student-l2.md) - [NoisyNet-Dueling](https://genailist.net/model/deepmind/noisynet-dueling.md) - [North Mini Code 1.0](https://genailist.net/model/cohere/north-mini-code-1-0.md) - [Nous-Hermes-2-Yi-34B](https://genailist.net/model/nous-research/nous-hermes-2-yi-34b.md) - [Nova-2](https://genailist.net/model/deepgram/nova-2.md) - [Nova-3](https://genailist.net/model/deepgram/nova-3.md) - [Novae](https://genailist.net/model/centralesupelec/novae.md) - [Nucleotide Transformer](https://genailist.net/model/nvidia/nucleotide-transformer.md) - [NÜWA](https://genailist.net/model/microsoft-research/n-wa.md) - [OC-GAN (COCO-Stuff)](https://genailist.net/model/mila-quebec-ai-originally-montreal-institute-for-learning-algorithms/oc-gan-coco-stuff.md) - [OC-GAN (Visual Genome)](https://genailist.net/model/mila-quebec-ai-originally-montreal-institute-for-learning-algorithms/oc-gan-visual-genome.md) - [OCR 2](https://genailist.net/model/mistral-ai/ocr-2.md) - [OCR 3](https://genailist.net/model/mistral-ai/ocr-3.md) - [OCTAVE 3B](https://genailist.net/model/hume/octave-3b.md) - [OCTAVE 8B](https://genailist.net/model/hume/octave-8b.md) - [OLMo 1.7-7B](https://genailist.net/model/allen-institute-for-ai/olmo-1-7-7b.md) - [OLMo 2 32B](https://genailist.net/model/allen-institute-for-ai/olmo-2-32b.md) - [OLMo 2 Furious 13B](https://genailist.net/model/allen-institute-for-ai/olmo-2-furious-13b.md) - [OLMo 2 Furious 7B](https://genailist.net/model/allen-institute-for-ai/olmo-2-furious-7b.md) - [OLMo 3 (family)](https://genailist.net/model/allen-institute-for-ai/olmo-3-family.md) - [OLMo 3.1 32B Instruct](https://genailist.net/model/allen-institute-for-ai/olmo-3-1-32b-instruct.md) - [OLMo 3.1 32B Think](https://genailist.net/model/allen-institute-for-ai/olmo-3-1-32b-think.md) - [OLMo-1B](https://genailist.net/model/allen-institute-for-ai/olmo-1b.md) - [OLMo-7B](https://genailist.net/model/allen-institute-for-ai/olmo-7b.md) - [OLMoE](https://genailist.net/model/allen-institute-for-ai/olmoe.md) - [OMNI-EPIC](https://genailist.net/model/imperial-college-london/omni-epic.md) - [ONE-PEACE](https://genailist.net/model/alibaba/one-peace.md) - [ONLSTM-SYD](https://genailist.net/model/westlake-university/onlstm-syd.md) - [OPT-1.3B](https://genailist.net/model/meta-ai/opt-1-3b.md) - [OPT-1.3B (finetuned on PTB)](https://genailist.net/model/meta-ai/opt-1-3b-finetuned-on-ptb.md) - [OPT-1.3B (finetuned)](https://genailist.net/model/meta-ai/opt-1-3b-finetuned.md) - [OPT-125M (finetuned on PTB)](https://genailist.net/model/meta-ai/opt-125m-finetuned-on-ptb.md) - [OPT-125M (finetuned)](https://genailist.net/model/meta-ai/opt-125m-finetuned.md) - [OPT-13B](https://genailist.net/model/meta-ai/opt-13b.md) - [OPT-175B](https://genailist.net/model/meta-ai/opt-175b.md) - [OPT-2.7B](https://genailist.net/model/meta-ai/opt-2-7b.md) - [OPT-2.7B (finetuned on PTB)](https://genailist.net/model/meta-ai/opt-2-7b-finetuned-on-ptb.md) - [OPT-2.7B (finetuned on WT2)](https://genailist.net/model/meta-ai/opt-2-7b-finetuned-on-wt2.md) - [OPT-30B](https://genailist.net/model/meta-ai/opt-30b.md) - [OPT-350M](https://genailist.net/model/meta-ai/opt-350m.md) - [OPT-6.7B](https://genailist.net/model/meta-ai/opt-6-7b.md) - [OPT-66B](https://genailist.net/model/meta-ai/opt-66b.md) - [OPT-IML (175B)](https://genailist.net/model/meta-ai/opt-iml-175b.md) - [OPUS-Design](https://genailist.net/model/fudan-university/opus-design.md) - [OR-WideResNet](https://genailist.net/model/duke-university/or-wideresnet.md) - [OREAL 32B](https://genailist.net/model/shanghai-ai-lab/oreal-32b.md) - [OREAL 7B](https://genailist.net/model/shanghai-ai-lab/oreal-7b.md) - [OV-DINO](https://genailist.net/model/guangzhou-ai-public-computing-center/ov-dino.md) - [Octave 2](https://genailist.net/model/hume/octave-2.md) - [Octo-Base](https://genailist.net/model/university-of-california-uc-berkeley/octo-base.md) - [Octo-Small](https://genailist.net/model/university-of-california-uc-berkeley/octo-small.md) - [Odyssey 1.2B](https://genailist.net/model/anthrogen/odyssey-1-2b.md) - [Odyssey 102B](https://genailist.net/model/anthrogen/odyssey-102b.md) - [Odyssey 12B](https://genailist.net/model/anthrogen/odyssey-12b.md) - [OlmoEarth v1.1](https://genailist.net/model/allen-institute-for-ai/olmoearth-v1-1.md) - [OmegaPLM](https://genailist.net/model/massachusetts-institute-of-technology-mit/omegaplm.md) - [OmniFlash](https://genailist.net/model/google-deepmind/omniflash.md) - [OmniFusion-7B (InternViT-6B-448px V1-2)](https://genailist.net/model/airi-artificial-intelligence-research-institute/omnifusion-7b-internvit-6b-448px-v1-2.md) - [OmniGen](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/omnigen.md) - [OmniGenome](https://genailist.net/model/university-of-exeter/omnigenome.md) - [OmniHuman-1](https://genailist.net/model/bytedance/omnihuman-1.md) - [OmniNA](https://genailist.net/model/tianjin-medical-university/omnina.md) - [OmniParser: Icon Description Model](https://genailist.net/model/microsoft-research/omniparser-icon-description-model.md) - [OmniParser: Interactable Region Detection Model](https://genailist.net/model/microsoft-research/omniparser-interactable-region-detection-model.md) - [OmniVec](https://genailist.net/model/tensortour/omnivec.md) - [Once for All](https://genailist.net/model/mit-ibm-watson-ai-lab/once-for-all.md) - [OneLLM](https://genailist.net/model/chinese-university-of-hong-kong-cuhk/onellm.md) - [OntoProtein](https://genailist.net/model/zhejiang-university-zju/ontoprotein.md) - [Open-Assistant Llama2 70B SFT v10](https://genailist.net/model/unknown/open-assistant-llama2-70b-sft-v10.md) - [OpenAI Five](https://genailist.net/model/openai/openai-five.md) - [OpenAI Five Rerun](https://genailist.net/model/openai/openai-five-rerun.md) - [OpenAI TI7 DOTA 1v1](https://genailist.net/model/openai/openai-ti7-dota-1v1.md) - [OpenAI o3](https://genailist.net/model/openai/openai-o3.md) - [OpenAI o4-mini](https://genailist.net/model/openai/openai-o4-mini.md) - [OpenAudio-S1](https://genailist.net/model/fish-audio/openaudio-s1.md) - [OpenAudio-S1-mini](https://genailist.net/model/fish-audio/openaudio-s1-mini-1.md) - [OpenAudio-S1-mini](https://genailist.net/model/fish-audio/openaudio-s1-mini.md) - [OpenBioLLM-Llama3-70B](https://genailist.net/model/saama/openbiollm-llama3-70b.md) - [OpenBioLLM-Llama3-8B](https://genailist.net/model/saama/openbiollm-llama3-8b.md) - [OpenCALM](https://genailist.net/model/cyberagent/opencalm.md) - [OpenCLIP ViT-H-14-378-quickgelu](https://genailist.net/model/massachusetts-institute-of-technology-mit/openclip-vit-h-14-378-quickgelu.md) - [OpenChat 3.5-7B](https://genailist.net/model/tsinghua-university/openchat-3-5-7b.md) - [OpenChat-13b](https://genailist.net/model/tsinghua-university/openchat-13b.md) - [OpenDiLoCo 1.1B](https://genailist.net/model/prime-intellect/opendiloco-1-1b.md) - [OpenDiLoCo 150M](https://genailist.net/model/prime-intellect/opendiloco-150m.md) - [OpenELM-1.1B](https://genailist.net/model/apple/openelm-1-1b.md) - [OpenELM-270M](https://genailist.net/model/apple/openelm-270m.md) - [OpenELM-3B](https://genailist.net/model/apple/openelm-3b.md) - [OpenELM-450M](https://genailist.net/model/apple/openelm-450m.md) - [OpenFlamingo](https://genailist.net/model/university-of-washington/openflamingo.md) - [OpenLLaMA-13B](https://genailist.net/model/openlm-research/openllama-13b.md) - [OpenOmni](https://genailist.net/model/chinese-academy-of-sciences/openomni.md) - [OpenPhenom-S/16](https://genailist.net/model/recursion-pharmaceuticals/openphenom-s-16.md) - [OpenReasoning-Nemotron-32B](https://genailist.net/model/nvidia/openreasoning-nemotron-32b.md) - [OpenThaiGPT 1.6 / OTG-1.6 (72B)](https://genailist.net/model/mahidol-university/openthaigpt-1-6-otg-1-6-72b.md) - [OpenThaiGPT R1 32b / OTG-R1 (32B)](https://genailist.net/model/mahidol-university/openthaigpt-r1-32b-otg-r1-32b.md) - [OpenThaiGPT v1.0.0 (13B)](https://genailist.net/model/mahidol-university/openthaigpt-v1-0-0-13b.md) - [OpenThaiGPT v1.0.0 (7B)](https://genailist.net/model/mahidol-university/openthaigpt-v1-0-0-7b.md) - [OpenVLA](https://genailist.net/model/stanford-university/openvla.md) - [Operator](https://genailist.net/model/openai/operator.md) - [Ops-Colqwen3-4B](https://genailist.net/model/opensearch-ai/ops-colqwen3-4b.md) - [Optimized Multi-Scale Edge Detection](https://genailist.net/model/massachusetts-institute-of-technology-mit/optimized-multi-scale-edge-detection.md) - [Optimized Single-layer Net](https://genailist.net/model/university-of-michigan/optimized-single-layer-net.md) - [Orca 2-13B](https://genailist.net/model/microsoft-research/orca-2-13b.md) - [Order embeddings with layer norm](https://genailist.net/model/university-of-toronto/order-embeddings-with-layer-norm.md) - [Order-Embeddings of Images and Language](https://genailist.net/model/university-of-toronto/order-embeddings-of-images-and-language.md) - [Orion Star (猎户星空大模型)](https://genailist.net/model/beijing-orionstar-technology-co/orion-star.md) - [Oryx 34B](https://genailist.net/model/tsinghua-university/oryx-34b.md) - [Oryx 7B](https://genailist.net/model/unknown/oryx-7b-1.md) - [Oryx 7B](https://genailist.net/model/tsinghua-university/oryx-7b.md) - [Otter](https://genailist.net/model/nanyang-technological-university/otter.md) - [OtterHD-8B](https://genailist.net/model/nanyang-technological-university/otterhd-8b.md) - [OuteTTS-0.1-350M](https://genailist.net/model/unknown/outetts-0-1-350m.md) - [OutfitAnyone](https://genailist.net/model/alibaba/outfitanyone.md) - [OverFeat](https://genailist.net/model/new-york-university-nyu/overfeat.md) - [Ovis-7B](https://genailist.net/model/alibaba/ovis-7b.md) - [Ovis1.6-Gemma2-27B](https://genailist.net/model/alibaba/ovis1-6-gemma2-27b.md) - [Ovis1.6-Gemma2-9B](https://genailist.net/model/alibaba/ovis1-6-gemma2-9b.md) - [Ovis2 16B](https://genailist.net/model/alibaba/ovis2-16b.md) - [Ovis2 34B](https://genailist.net/model/alibaba/ovis2-34b.md) - [Ovis2.5 2B](https://genailist.net/model/alibaba/ovis2-5-2b.md) - [Ovis2.5 9B](https://genailist.net/model/alibaba/ovis2-5-9b.md) - [P-LLama3](https://genailist.net/model/university-of-siena/p-llama3.md) - [P-Llama2](https://genailist.net/model/university-of-siena/p-llama2.md) - [P-Mistral](https://genailist.net/model/university-of-siena/p-mistral.md) - [P-gemma](https://genailist.net/model/university-of-siena/p-gemma.md) - [PAGnol-XL](https://genailist.net/model/lighton/pagnol-xl.md) - [PAR Transformer Large](https://genailist.net/model/nvidia/par-transformer-large.md) - [PARM](https://genailist.net/model/oncode-institute/parm.md) - [PDFII](https://genailist.net/model/sichuan-university/pdfii.md) - [PDP model for serial order](https://genailist.net/model/university-of-california-san-diego/pdp-model-for-serial-order.md) - [PFP](https://genailist.net/model/preferred-networks-inc/pfp.md) - [PG-SWGAN](https://genailist.net/model/eth-zurich/pg-swgan.md) - [PIXART-α](https://genailist.net/model/huawei-noah-s-ark-lab/pixart.md) - [PLAPT](https://genailist.net/model/wolfram-research/plapt.md) - [PLATO-XL](https://genailist.net/model/baidu/plato-xl.md) - [PLLaMa](https://genailist.net/model/university-of-california-santa-barbara-ucsb/pllama.md) - [PLTNUM](https://genailist.net/model/kyoto-university/pltnum.md) - [PLUG](https://genailist.net/model/alibaba/plug.md) - [PLUS-RNN](https://genailist.net/model/seoul-national-university/plus-rnn.md) - [PLaMo 3.0 Prime](https://genailist.net/model/preferred-networks/plamo-3-0-prime.md) - [PLaMo-100B](https://genailist.net/model/preferred-networks-inc/plamo-100b.md) - [PLaMo-13B](https://genailist.net/model/preferred-networks-inc/plamo-13b.md) - [PMLM-large](https://genailist.net/model/microsoft-research-asia/pmlm-large.md) - [PNASNet-5](https://genailist.net/model/johns-hopkins-university/pnasnet-5.md) - [POKE´LLMON](https://genailist.net/model/georgia-institute-of-technology/poke-llmon.md) - [PPFlow](https://genailist.net/model/zhejiang-university-zju/ppflow.md) - [PPLX-70B-Online](https://genailist.net/model/perplexity/pplx-70b-online.md) - [PRISM-1](https://genailist.net/model/wayve/prism-1.md) - [PROPERMAB](https://genailist.net/model/regeneron/propermab.md) - [PSPNet](https://genailist.net/model/chinese-university-of-hong-kong-cuhk/pspnet.md) - [PTM-Mamba](https://genailist.net/model/duke-university/ptm-mamba.md) - [PULI GPTrio](https://genailist.net/model/hungarian-research-centre-for-linguistics/puli-gptrio.md) - [PaLI](https://genailist.net/model/google/pali.md) - [PaLI-3](https://genailist.net/model/google-deepmind/pali-3.md) - [PaLI-X](https://genailist.net/model/google-research/pali-x.md) - [PaLM (540B)](https://genailist.net/model/google-research/palm-540b.md) - [PaLM 2](https://genailist.net/model/google/palm-2.md) - [PaLM-2 Bison](https://genailist.net/model/google/palm-2-bison.md) - [PaLM-2 Gecko](https://genailist.net/model/google/palm-2-gecko.md) - [PaLM-2 Otter](https://genailist.net/model/google/palm-2-otter.md) - [PaLM-2 Unicorn](https://genailist.net/model/google/palm-2-unicorn.md) - [PaLM-E](https://genailist.net/model/google/palm-e.md) - [PaLM-SayCan](https://genailist.net/model/google/palm-saycan.md) - [PaddleOCR-VL](https://genailist.net/model/baidu/paddleocr-vl.md) - [PaliGemma](https://genailist.net/model/google-deepmind/paligemma.md) - [PaliGemma 2 3B Mix 224](https://genailist.net/model/google/paligemma-2-3b-mix-224.md) - [PaliGemma 2 3B Mix 448](https://genailist.net/model/google/paligemma-2-3b-mix-448.md) - [Palmyra Fin](https://genailist.net/model/writer/palmyra-fin.md) - [Palmyra Large 20B](https://genailist.net/model/writer/palmyra-large-20b.md) - [Palmyra Med](https://genailist.net/model/writer/palmyra-med.md) - [Palmyra Vision](https://genailist.net/model/writer/palmyra-vision.md) - [Palmyra X5](https://genailist.net/model/writer/palmyra-x5.md) - [PanGu-Σ](https://genailist.net/model/huawei-noah-s-ark-lab/pangu.md) - [PanGu-α](https://genailist.net/model/huawei-noah-s-ark-lab/pangu-1.md) - [Pandemonium (morse)](https://genailist.net/model/massachusetts-institute-of-technology-mit/pandemonium-morse.md) - [Pangu 3.0](https://genailist.net/model/huawei/pangu-3-0.md) - [Pangu 5.0](https://genailist.net/model/unknown/pangu-5-0.md) - [Pangu Pro MoE](https://genailist.net/model/huawei/pangu-pro-moe.md) - [Pangu Ultra](https://genailist.net/model/huawei/pangu-ultra.md) - [Pangu Ultra MoE](https://genailist.net/model/huawei/pangu-ultra-moe.md) - [Pangu-Weather](https://genailist.net/model/huawei/pangu-weather.md) - [Papla P1](https://genailist.net/model/papla-media/papla-p1.md) - [Paragraph Vector](https://genailist.net/model/google/paragraph-vector.md) - [Parakeet ASR rnnt 1.1B](https://genailist.net/model/nvidia/parakeet-asr-rnnt-1-1b.md) - [Parakeet-tdt-0.6b-v3](https://genailist.net/model/nvidia/parakeet-tdt-0-6b-v3.md) - [ParetoDrug](https://genailist.net/model/chinese-university-of-hong-kong-cuhk/paretodrug.md) - [Part-of-sentence tagging model](https://genailist.net/model/carnegie-mellon-university-cmu/part-of-sentence-tagging-model.md) - [Parti](https://genailist.net/model/google-research/parti.md) - [PathOrchestra](https://genailist.net/model/unknown/pathorchestra.md) - [PeTriBERT](https://genailist.net/model/university-of-montpellier/petribert.md) - [PengCheng Mind (鹏城脑海)](https://genailist.net/model/peng-cheng-laboratory/pengcheng-mind.md) - [PepGLAD](https://genailist.net/model/tsinghua-university/pepglad.md) - [PepINVENT](https://genailist.net/model/astrazeneca/pepinvent.md) - [PepMLM](https://genailist.net/model/duke-university/pepmlm.md) - [PepNet](https://genailist.net/model/shandong-university/pepnet.md) - [PepPrCLIP](https://genailist.net/model/duke-university/pepprclip.md) - [PeptideBERT](https://genailist.net/model/carnegie-mellon-university-cmu/peptidebert.md) - [Perceiver IO (optical flow)](https://genailist.net/model/deepmind/perceiver-io-optical-flow.md) - [Perceptron (1960)](https://genailist.net/model/cornell-aeronautical-laboratory/perceptron-1960.md) - [Perceptron Mark I](https://genailist.net/model/cornell-aeronautical-laboratory/perceptron-mark-i.md) - [Perfusion](https://genailist.net/model/nvidia/perfusion.md) - [PermuteFormer](https://genailist.net/model/peking-university/permuteformer.md) - [Persia](https://genailist.net/model/eth-zurich/persia.md) - [Persimmon-8B](https://genailist.net/model/adept/persimmon-8b.md) - [Pharia-1-LLM-7B](https://genailist.net/model/aleph-alpha/pharia-1-llm-7b.md) - [Phi-1](https://genailist.net/model/microsoft-research/phi-1.md) - [Phi-1.5](https://genailist.net/model/microsoft/phi-1-5.md) - [Phi-2](https://genailist.net/model/microsoft/phi-2.md) - [Phi-3.5-MoE](https://genailist.net/model/microsoft/phi-3-5-moe.md) - [Phi-3.5-mini ITA](https://genailist.net/model/anakin87/phi-3.5-mini-ita.md) - [Phi-4](https://genailist.net/model/microsoft-research/phi-4.md) - [Phi-4 Mini](https://genailist.net/model/microsoft/phi-4-mini.md) - [Phi-4-Multimodal](https://genailist.net/model/microsoft/phi-4-multimodal.md) - [Phi-4-Reasoning](https://genailist.net/model/microsoft/phi-4-reasoning.md) - [Phi-4-Reasoning-plus](https://genailist.net/model/microsoft/phi-4-reasoning-plus.md) - [Phi-4-mini-flash-reasoning](https://genailist.net/model/microsoft/phi-4-mini-flash-reasoning.md) - [Phi-4-mini-instruct](https://genailist.net/model/microsoft/phi-4-mini-instruct.md) - [Phi-4-mini-reasoning](https://genailist.net/model/microsoft/phi-4-mini-reasoning.md) - [Phi-4-reasoning-vision-15B](https://genailist.net/model/microsoft/phi-4-reasoning-vision-15b.md) - [Phoenix (凤凰大模型)](https://genailist.net/model/zhixin-shuchuang-chongqing-technology-co/phoenix.md) - [Phoenix 1.0 Ultra](https://genailist.net/model/leonardo-ai/phoenix-1-0-ultra.md) - [Photo-Geometric Autoencoder](https://genailist.net/model/university-of-oxford/photo-geometric-autoencoder.md) - [PhraseCond](https://genailist.net/model/carnegie-mellon-university-cmu/phrasecond.md) - [Piecewise linear model](https://genailist.net/model/university-of-kansas/piecewise-linear-model.md) - [Pika 1.5](https://genailist.net/model/pika-labs/pika-1-5.md) - [Pika 2.0](https://genailist.net/model/pika-labs/pika-2-0.md) - [Pika 2.1](https://genailist.net/model/pika-labs/pika-2-1.md) - [Pika 2.2](https://genailist.net/model/pika-labs/pika-2-2.md) - [Pinshang](https://genailist.net/model/unknown/pinshang.md) - [Pix2Struct-Large](https://genailist.net/model/google-research/pix2struct-large.md) - [Pixal3D](https://genailist.net/model/tencent-arc-lab/pixal3d.md) - [PixelCNN](https://genailist.net/model/google-deepmind/pixelcnn-1.md) - [PixelCNN++](https://genailist.net/model/openai/pixelcnn.md) - [PixelDance](https://genailist.net/model/bytedance/pixeldance.md) - [PixelSNAIL (CIFAR 10)](https://genailist.net/model/university-of-california-uc-berkeley/pixelsnail-cifar-10.md) - [PixelSNAIL (ImageNet)](https://genailist.net/model/university-of-california-uc-berkeley/pixelsnail-imagenet.md) - [Pixtral 12B](https://genailist.net/model/mistral-ai/pixtral-12b.md) - [Pixtral Large](https://genailist.net/model/mistral-ai/pixtral-large.md) - [Pixverse v4.5](https://genailist.net/model/pixverse-ai/pixverse-v4-5.md) - [PlasmidGPT](https://genailist.net/model/harvard-university/plasmidgpt.md) - [Platypus-70B](https://genailist.net/model/boston-university/platypus-70b.md) - [Playground v2](https://genailist.net/model/playground/playground-v2.md) - [Playground v2.5](https://genailist.net/model/playground/playground-v2-5.md) - [Playground v3](https://genailist.net/model/playground/playground-v3.md) - [Pleias 1.0 1.2B](https://genailist.net/model/pleias/pleias-1-0-1-2b.md) - [Pleias 1.0 350m](https://genailist.net/model/pleias/pleias-1-0-350m.md) - [Pleias-RAG-1B](https://genailist.net/model/pleias/pleias-rag-1b.md) - [Pleias-RAG-350m](https://genailist.net/model/pleias/pleias-rag-350m.md) - [Pluribus](https://genailist.net/model/facebook-ai-research/pluribus.md) - [PoE MNIST](https://genailist.net/model/university-college-london-ucl/poe-mnist.md) - [PoET](https://genailist.net/model/openprotein-ai/poet.md) - [PocketFlow](https://genailist.net/model/university-of-science-and-technology-of-china-ustc/pocketflow.md) - [PocketGen](https://genailist.net/model/university-of-science-and-technology-of-china-ustc/pocketgen.md) - [PocketVec](https://genailist.net/model/barcelona-institute-of-science-and-technology/pocketvec.md) - [PointNet](https://genailist.net/model/stanford-university/pointnet-1.md) - [PointNet++](https://genailist.net/model/stanford-university/pointnet.md) - [Pointer Sentinel-LSTM (WT2)](https://genailist.net/model/metamind-inc/pointer-sentinel-lstm-wt2.md) - [Pointer Sentinel-LSTM (medium)](https://genailist.net/model/metamind-inc/pointer-sentinel-lstm-medium.md) - [PolyCoder](https://genailist.net/model/carnegie-mellon-university-cmu/polycoder.md) - [PolyNet](https://genailist.net/model/chinese-university-of-hong-kong-cuhk/polynet.md) - [PolySphere-1](https://genailist.net/model/ai-inside/polysphere-1.md) - [Polyglot-Ko-12.8B](https://genailist.net/model/eleutherai/polyglot-ko-12-8b.md) - [Pooling CNN (Caltech 101)](https://genailist.net/model/university-of-bonn/pooling-cnn-caltech-101.md) - [Pooling CNN (NORB)](https://genailist.net/model/university-of-bonn/pooling-cnn-norb.md) - [Poolside Malibu](https://genailist.net/model/poolside/poolside-malibu.md) - [Poro 34B](https://genailist.net/model/high-performance-language-technologies-hplt/poro-34b.md) - [Pragmatic Theory solution (Netflix 2009)](https://genailist.net/model/pragmatic-theory-inc/pragmatic-theory-solution-netflix-2009.md) - [PreAlgPro](https://genailist.net/model/shanghai-ocean-university/prealgpro.md) - [PrePR-CT](https://genailist.net/model/king-abdullah-university-of-science-and-technology-kaust/prepr-ct.md) - [Precious3GPT](https://genailist.net/model/insilico-medicine-ai/precious3gpt.md) - [Predictive Coding NN](https://genailist.net/model/technical-university-of-munich/predictive-coding-nn.md) - [Primer (GPT-3 XL-like 1.9B)](https://genailist.net/model/google-brain/primer-gpt-3-xl-like-1-9b.md) - [Print Recognition Logic](https://genailist.net/model/ibm/print-recognition-logic.md) - [Prithvi WxC](https://genailist.net/model/ibm-research/prithvi-wxc.md) - [Prithvi-100M](https://genailist.net/model/ibm/prithvi-100m.md) - [Prithvi-EO-2.0 300M](https://genailist.net/model/ibm-research/prithvi-eo-2-0-300m.md) - [Prithvi-EO-2.0 600M](https://genailist.net/model/ibm-research/prithvi-eo-2-0-600m.md) - [Pro-PRIME](https://genailist.net/model/shanghai-jiao-tong-university/pro-prime.md) - [ProBERTa](https://genailist.net/model/university-of-illinois-urbana-champaign-uiuc/proberta.md) - [ProCALM (Uniref9B)](https://genailist.net/model/profluent-bio/procalm-uniref9b.md) - [ProGen](https://genailist.net/model/salesforce-research/progen.md) - [ProGen2-base](https://genailist.net/model/salesforce-research/progen2-base.md) - [ProGen2-xlarge](https://genailist.net/model/salesforce-research/progen2-xlarge.md) - [ProLLaMA](https://genailist.net/model/peking-university/prollama.md) - [ProRNA3D-Single](https://genailist.net/model/virginia-tech-virginia-polytechnic-institute-and-state-university/prorna3d-single.md) - [ProSST](https://genailist.net/model/shanghai-jiao-tong-university/prosst.md) - [ProTeM](https://genailist.net/model/zhejiang-lab/protem.md) - [ProTrek](https://genailist.net/model/westlake-university/protrek.md) - [Profile Prediction](https://genailist.net/model/university-of-washington/profile-prediction.md) - [ProgressiveGAN](https://genailist.net/model/nvidia/progressivegan.md) - [Projected GAN](https://genailist.net/model/heidelberg-university/projected-gan.md) - [ProlificDreamer](https://genailist.net/model/tsinghua-university/prolificdreamer.md) - [ProstT5](https://genailist.net/model/technical-university-of-munich/prostt5.md) - [Prot2Token](https://genailist.net/model/university-of-missouri/prot2token.md) - [ProtBERT-BFD](https://genailist.net/model/technical-university-of-munich/protbert-bfd.md) - [ProtBERT-UniRef](https://genailist.net/model/technical-university-of-munich/protbert-uniref.md) - [ProtBFN](https://genailist.net/model/instadeep/protbfn.md) - [ProtChatGPT](https://genailist.net/model/university-of-technology-sydney/protchatgpt.md) - [ProtENN2](https://genailist.net/model/european-bioinformatics-institute/protenn2.md) - [ProtGPT2](https://genailist.net/model/university-of-bayreuth/protgpt2.md) - [ProtRNA](https://genailist.net/model/fudan-university/protrna.md) - [ProtSSN](https://genailist.net/model/shanghai-jiao-tong-university/protssn.md) - [ProtT3](https://genailist.net/model/national-university-of-singapore/prott3.md) - [ProtT5-XL-U50](https://genailist.net/model/technical-university-of-munich/prott5-xl-u50.md) - [ProtT5-XXL](https://genailist.net/model/technical-university-of-munich/prott5-xxl.md) - [ProtT5-XXL-BFD](https://genailist.net/model/technical-university-of-munich/prott5-xxl-bfd.md) - [Protein-Mamba](https://genailist.net/model/rensselaer-polytechnic-institute/protein-mamba.md) - [ProteinBERT](https://genailist.net/model/hebrew-university-of-jerusalem/proteinbert.md) - [ProteinChat](https://genailist.net/model/university-of-california-san-diego/proteinchat.md) - [ProteinDT](https://genailist.net/model/university-of-california-uc-berkeley/proteindt.md) - [ProteinGAN](https://genailist.net/model/vilnius-university/proteingan.md) - [ProteinGenerator](https://genailist.net/model/university-of-washington/proteingenerator.md) - [ProteinINR](https://genailist.net/model/kakao/proteininr.md) - [ProteinLM](https://genailist.net/model/tsinghua-university/proteinlm.md) - [ProteinMPNN](https://genailist.net/model/university-of-washington/proteinmpnn.md) - [ProteinMPNN-DDG](https://genailist.net/model/peptone/proteinmpnn-ddg.md) - [ProteinReDiff](https://genailist.net/model/fpt-software-ai-center/proteinrediff.md) - [ProteinSGM](https://genailist.net/model/university-of-toronto/proteinsgm.md) - [ProteinSetTransformer](https://genailist.net/model/university-of-wisconsin-madison/proteinsettransformer.md) - [ProteinStructureTransformer](https://genailist.net/model/max-planck-institute-of-biochemistry/proteinstructuretransformer.md) - [Prothyena](https://genailist.net/model/tokyo-institute-of-technology/prothyena.md) - [Protllm](https://genailist.net/model/beijing-institute-of-technology/protllm.md) - [Prototypical networks](https://genailist.net/model/university-of-toronto/prototypical-networks.md) - [Protst](https://genailist.net/model/mila-quebec-ai-originally-montreal-institute-for-learning-algorithms/protst.md) - [ProxylessNAS](https://genailist.net/model/massachusetts-institute-of-technology-mit/proxylessnas.md) - [Pyramid Flow](https://genailist.net/model/peking-university/pyramid-flow.md) - [PyramidNet](https://genailist.net/model/korea-advanced-institute-of-science-and-technology-kaist/pyramidnet.md) - [Pythia-1.4b](https://genailist.net/model/eleutherai/pythia-1-4b.md) - [Pythia-12b](https://genailist.net/model/eleutherai/pythia-12b.md) - [Pythia-160m](https://genailist.net/model/eleutherai/pythia-160m.md) - [Pythia-1b](https://genailist.net/model/eleutherai/pythia-1b.md) - [Pythia-2.8b](https://genailist.net/model/eleutherai/pythia-2-8b.md) - [Pythia-410m](https://genailist.net/model/eleutherai/pythia-410m.md) - [Pythia-6.9b](https://genailist.net/model/eleutherai/pythia-6-9b.md) - [Pythia-70m](https://genailist.net/model/eleutherai/pythia-70m.md) - [Pythia-Chat-Base-7B-v0.16](https://genailist.net/model/together/pythia-chat-base-7b-v0-16.md) - [Q-learning](https://genailist.net/model/university-of-london/q-learning.md) - [QMoE: compressed SwitchTransformer](https://genailist.net/model/institute-of-science-and-technology-austria-ista/qmoe-compressed-switchtransformer.md) - [QRNN](https://genailist.net/model/salesforce-research/qrnn.md) - [QT-Opt](https://genailist.net/model/google-brain/qt-opt.md) - [QVQ](https://genailist.net/model/alibaba/qvq.md) - [QVQ-Max](https://genailist.net/model/alibaba/qvq-max.md) - [QWQ-Plus](https://genailist.net/model/qwen/qwq-plus.md) - [Qarasu-14B](https://genailist.net/model/lightblue/qarasu-14b.md) - [Qiyuan](https://genailist.net/model/unknown/qiyuan.md) - [Qiyuan 3.0](https://genailist.net/model/unknown/qiyuan-3-0.md) - [Quantized ADMM](https://genailist.net/model/chinese-university-of-hong-kong-cuhk/quantized-admm.md) - [Quiet-STaR](https://genailist.net/model/stanford-university/quiet-star.md) - [QwQ-32B](https://genailist.net/model/qwen/qwq-32b.md) - [Qwen 3.5 Small 0.8B](https://genailist.net/model/qwen/qwen-3-5-small-0-8b.md) - [Qwen 3.5 Small 2B](https://genailist.net/model/qwen/qwen-3-5-small-2b.md) - [Qwen 3.5 Small 4B](https://genailist.net/model/qwen/qwen-3-5-small-4b.md) - [Qwen 3.5 Small 9B](https://genailist.net/model/qwen/qwen-3-5-small-9b.md) - [Qwen Audio 3.0 TTS](https://genailist.net/model/alibaba-qwen/qwen-audio-3-0-tts.md) - [Qwen Image](https://genailist.net/model/qwen/qwen-image.md) - [Qwen Image Edit](https://genailist.net/model/qwen/qwen-image-edit.md) - [Qwen Plus](https://genailist.net/model/qwen/qwen-plus.md) - [Qwen-14B](https://genailist.net/model/qwen/qwen-14b.md) - [Qwen-72B](https://genailist.net/model/qwen/qwen-72b.md) - [Qwen-7B](https://genailist.net/model/qwen/qwen-7b.md) - [Qwen-Audio-Chat](https://genailist.net/model/qwen/qwen-audio-chat.md) - [Qwen-Image-Layered](https://genailist.net/model/alibaba/qwen-image-layered.md) - [Qwen-Turbo](https://genailist.net/model/qwen/qwen-turbo.md) - [Qwen-VL](https://genailist.net/model/qwen/qwen-vl.md) - [Qwen-VL-Max](https://genailist.net/model/qwen/qwen-vl-max.md) - [Qwen-VLA](https://genailist.net/model/qwen/qwen-vla.md) - [Qwen1.5-110B](https://genailist.net/model/qwen/qwen1-5-110b.md) - [Qwen1.5-14B](https://genailist.net/model/qwen/qwen1-5-14b.md) - [Qwen1.5-32B](https://genailist.net/model/qwen/qwen1-5-32b.md) - [Qwen1.5-72B](https://genailist.net/model/qwen/qwen1-5-72b.md) - [Qwen1.5-7B](https://genailist.net/model/qwen/qwen1-5-7b.md) - [Qwen2 1.5B ITA](https://genailist.net/model/deepmount00/qwen2-1.5b-ita.md) - [Qwen2-0.5B](https://genailist.net/model/qwen/qwen2-0-5b.md) - [Qwen2-1.5B](https://genailist.net/model/qwen/qwen2-1-5b.md) - [Qwen2-57B-A14B](https://genailist.net/model/qwen/qwen2-57b-a14b.md) - [Qwen2-72B](https://genailist.net/model/qwen/qwen2-72b.md) - [Qwen2-7B](https://genailist.net/model/qwen/qwen2-7b.md) - [Qwen2-Audio](https://genailist.net/model/qwen/qwen2-audio.md) - [Qwen2-Math-1.5B](https://genailist.net/model/qwen/qwen2-math-1-5b.md) - [Qwen2-Math-72B](https://genailist.net/model/qwen/qwen2-math-72b.md) - [Qwen2-Math-7B](https://genailist.net/model/qwen/qwen2-math-7b.md) - [Qwen2-VL-2B](https://genailist.net/model/qwen/qwen2-vl-2b.md) - [Qwen2-VL-72B](https://genailist.net/model/qwen/qwen2-vl-72b.md) - [Qwen2-VL-7B](https://genailist.net/model/qwen/qwen2-vl-7b.md) - [Qwen2.5 Instruct (32B)](https://genailist.net/model/qwen/qwen2-5-instruct-32b.md) - [Qwen2.5 Instruct (72B)](https://genailist.net/model/qwen/qwen2-5-instruct-72b.md) - [Qwen2.5 Instruct (7B)](https://genailist.net/model/qwen/qwen2-5-instruct-7b.md) - [Qwen2.5-1.5B](https://genailist.net/model/qwen/qwen2-5-1-5b.md) - [Qwen2.5-14B](https://genailist.net/model/qwen/qwen2-5-14b.md) - [Qwen2.5-32B](https://genailist.net/model/qwen/qwen2-5-32b.md) - [Qwen2.5-3B](https://genailist.net/model/qwen/qwen2-5-3b.md) - [Qwen2.5-72B](https://genailist.net/model/qwen/qwen2-5-72b.md) - [Qwen2.5-7B](https://genailist.net/model/qwen/qwen2-5-7b.md) - [Qwen2.5-Coder (1.5B)](https://genailist.net/model/qwen/qwen2-5-coder-1-5b.md) - [Qwen2.5-Coder (32B)](https://genailist.net/model/qwen/qwen2-5-coder-32b.md) - [Qwen2.5-Coder (7B)](https://genailist.net/model/qwen/qwen2-5-coder-7b.md) - [Qwen2.5-Math-1.5B](https://genailist.net/model/qwen/qwen2-5-math-1-5b.md) - [Qwen2.5-Math-7B-Base](https://genailist.net/model/qwen/qwen2-5-math-7b-base.md) - [Qwen2.5-Max](https://genailist.net/model/qwen/qwen2-5-max.md) - [Qwen2.5-Omni 3B](https://genailist.net/model/qwen/qwen2-5-omni-3b.md) - [Qwen2.5-Omni 7B](https://genailist.net/model/qwen/qwen2-5-omni-7b.md) - [Qwen2.5-Turbo](https://genailist.net/model/qwen/qwen2-5-turbo.md) - [Qwen2.5-VL-3B](https://genailist.net/model/qwen/qwen2-5-vl-3b.md) - [Qwen2.5-VL-72B](https://genailist.net/model/qwen/qwen2-5-vl-72b.md) - [Qwen2.5-VL-7B](https://genailist.net/model/qwen/qwen2-5-vl-7b-1.md) - [Qwen2.5-VL-7B](https://genailist.net/model/qwen/qwen2-5-vl-7b.md) - [Qwen3 (series)](https://genailist.net/model/alibaba/qwen3-series.md) - [Qwen3 Embedding](https://genailist.net/model/qwen/qwen3-embedding.md) - [Qwen3 Reranker](https://genailist.net/model/qwen/qwen3-reranker.md) - [Qwen3-0.6B](https://genailist.net/model/qwen/qwen3-0-6b.md) - [Qwen3-1.7B](https://genailist.net/model/qwen/qwen3-1-7b.md) - [Qwen3-14B](https://genailist.net/model/qwen/qwen3-14b.md) - [Qwen3-235B-A22B](https://genailist.net/model/qwen/qwen3-235b-a22b.md) - [Qwen3-235B-A22B-Instruct (Jul 2025)](https://genailist.net/model/qwen/qwen3-235b-a22b-instruct-jul-2025.md) - [Qwen3-235B-A22B-Thinking (Jul 2025)](https://genailist.net/model/qwen/qwen3-235b-a22b-thinking-jul-2025.md) - [Qwen3-30B-A3B](https://genailist.net/model/qwen/qwen3-30b-a3b.md) - [Qwen3-32B](https://genailist.net/model/qwen/qwen3-32b.md) - [Qwen3-4B](https://genailist.net/model/qwen/qwen3-4b.md) - [Qwen3-8B](https://genailist.net/model/qwen/qwen3-8b.md) - [Qwen3-Coder](https://genailist.net/model/alibaba/qwen3-coder.md) - [Qwen3-Coder-480B-A35B](https://genailist.net/model/qwen/qwen3-coder-480b-a35b.md) - [Qwen3-GNR-it 14B](https://genailist.net/model/fondazione-bruno-kessler/qwen3-gnr-it-14b.md) - [Qwen3-LiveTranslate](https://genailist.net/model/alibaba/qwen3-livetranslate.md) - [Qwen3-Max](https://genailist.net/model/qwen/qwen3-max.md) - [Qwen3-Max-Thinking](https://genailist.net/model/qwen/qwen3-max-thinking.md) - [Qwen3-Next-80B-A3B](https://genailist.net/model/qwen/qwen3-next-80b-a3b.md) - [Qwen3-Omni](https://genailist.net/model/alibaba/qwen3-omni.md) - [Qwen3-Omni-30B-A3B](https://genailist.net/model/qwen/qwen3-omni-30b-a3b.md) - [Qwen3-Omni-Flash](https://genailist.net/model/qwen/qwen3-omni-flash.md) - [Qwen3-Omni-Flash (2025-12-01)](https://genailist.net/model/alibaba/qwen3-omni-flash-2025-12-01.md) - [Qwen3-TTS](https://genailist.net/model/alibaba/qwen3-tts.md) - [Qwen3-VL (series)](https://genailist.net/model/alibaba/qwen3-vl-series.md) - [Qwen3-VL-Embedding-2B](https://genailist.net/model/qwen/qwen3-vl-embedding-2b.md) - [Qwen3-VL-Embedding-8B](https://genailist.net/model/qwen/qwen3-vl-embedding-8b.md) - [Qwen3-VL-Reranker-2B](https://genailist.net/model/qwen/qwen3-vl-reranker-2b.md) - [Qwen3-VL-Reranker-8B](https://genailist.net/model/qwen/qwen3-vl-reranker-8b.md) - [Qwen3.5](https://genailist.net/model/qwen/qwen3-5.md) - [Qwen3.5-397B-A17B](https://genailist.net/model/qwen/qwen3-5-397b-a17b.md) - [Qwen3.5-LiveTranslate-Flash](https://genailist.net/model/qwen/qwen3-5-livetranslate-flash.md) - [Qwen3.5-Plus](https://genailist.net/model/qwen/qwen3-5-plus.md) - [Qwen3.6-Max-Preview](https://genailist.net/model/qwen/qwen-3-6-max-preview.md) - [Qwen3.6-Plus](https://genailist.net/model/qwen/qwen-3-6-plus.md) - [Qwen3.7-Max](https://genailist.net/model/qwen/qwen3-7-max.md) - [Qwen3.7-Plus](https://genailist.net/model/qwen/qwen3-7-plus.md) - [Qwen3.8 Max](https://genailist.net/model/alibaba-qwen/qwen3-8-max.md) - [Qwen3.8-Max-Preview](https://genailist.net/model/alibaba-qwen/qwen3-8-max-preview.md) - [R-FCN](https://genailist.net/model/tsinghua-university/r-fcn.md) - [R-Transformer](https://genailist.net/model/michigan-state-university/r-transformer.md) - [R1 1776](https://genailist.net/model/perplexity/r1-1776.md) - [RAAM](https://genailist.net/model/unknown/raam.md) - [RBM Image Classifier](https://genailist.net/model/university-of-toronto/rbm-image-classifier.md) - [RBM-tuning](https://genailist.net/model/unknown/rbm-tuning.md) - [RCAN](https://genailist.net/model/northeastern-university/rcan.md) - [RCTM](https://genailist.net/model/university-of-oxford/rctm.md) - [RDT-1B](https://genailist.net/model/tsinghua-university/rdt-1b.md) - [RECONTRA-categorized](https://genailist.net/model/unknown/recontra-categorized.md) - [RECONTRA-uncategorized](https://genailist.net/model/unknown/recontra-uncategorized.md) - [REINFORCE in Stochastic Connectionism](https://genailist.net/model/unknown/reinforce-in-stochastic-connectionism.md) - [RENNAISSANCE](https://genailist.net/model/ecole-polytechnique-f-ed-erale-de-lausanne-epfl/rennaissance.md) - [RESP AI](https://genailist.net/model/university-of-california-san-diego/resp-ai.md) - [RETRO-7B](https://genailist.net/model/deepmind/retro-7b.md) - [RFA-GATE-Gaussian-Stateful Big](https://genailist.net/model/university-of-washington/rfa-gate-gaussian-stateful-big.md) - [RFM-1](https://genailist.net/model/covariant/rfm-1.md) - [RFdiffusion](https://genailist.net/model/university-of-washington/rfdiffusion.md) - [RGC+ASQ (PTB)](https://genailist.net/model/tsinghua-university/rgc-asq-ptb.md) - [RHN(depth=40)](https://genailist.net/model/ben-gurion-university/rhn-depth-40.md) - [RHN+HSG(depth=40)](https://genailist.net/model/ben-gurion-university/rhn-hsg-depth-40.md) - [RIO](https://genailist.net/model/west-lake-xinchen-xinchen-ai/rio.md) - [RL for helicopter flight](https://genailist.net/model/university-of-california-uc-berkeley/rl-for-helicopter-flight.md) - [RMBG v2.0](https://genailist.net/model/bria-ai/rmbg-v2-0.md) - [RMSNorm (Transformer-base)](https://genailist.net/model/university-of-edinburgh/rmsnorm-transformer-base.md) - [RNA language models predict mutations that improve RNA function](https://genailist.net/model/nersc/rna-language-models-predict-mutations-that-improve-rna-function.md) - [RNA-DCGen](https://genailist.net/model/bangladesh-university-of-engineering-and-technology/rna-dcgen.md) - [RNA-FM](https://genailist.net/model/chinese-university-of-hong-kong-cuhk/rna-fm.md) - [RNA-FrameFlow](https://genailist.net/model/national-university-of-singapore/rna-frameflow.md) - [RNA-MSM](https://genailist.net/model/peking-university/rna-msm.md) - [RNACG](https://genailist.net/model/tsinghua-university/rnacg.md) - [RNADiffFold](https://genailist.net/model/hangzhou-institute-of-medicine/rnadifffold.md) - [RNAdiffusion](https://genailist.net/model/princeton-university/rnadiffusion.md) - [RNAformer](https://genailist.net/model/university-of-freiburg/rnaformer.md) - [RNMT+](https://genailist.net/model/google-ai/rnmt.md) - [RNN](https://genailist.net/model/microsoft-research/rnn.md) - [RNN (SGD+CLR)](https://genailist.net/model/university-of-montreal-universit-de-montr-al/rnn-sgd-clr.md) - [RNN + char2-MS-vec](https://genailist.net/model/ntt-communication-science-laboratories/rnn-char2-ms-vec.md) - [RNN + char3-MS-vec](https://genailist.net/model/ntt-communication-science-laboratories/rnn-char3-ms-vec.md) - [RNN + char4-MS-vec](https://genailist.net/model/ntt-communication-science-laboratories/rnn-char4-ms-vec.md) - [RNN 1000/5 + RT09 LM (NIST RT05)](https://genailist.net/model/brno-university-of-technology/rnn-1000-5-rt09-lm-nist-rt05.md) - [RNN 500/10 + RT09 LM (NIST RT05)](https://genailist.net/model/brno-university-of-technology/rnn-500-10-rt09-lm-nist-rt05.md) - [RNN Baseline](https://genailist.net/model/massachusetts-institute-of-technology-mit/rnn-baseline.md) - [RNN LM](https://genailist.net/model/johns-hopkins-university/rnn-lm.md) - [RNN for 1B words](https://genailist.net/model/google/rnn-for-1b-words.md) - [RNN+LDA](https://genailist.net/model/microsoft-research/rnn-lda.md) - [RNN+LSA+KN5+cache (model combination w/ linear extrapolation)](https://genailist.net/model/microsoft-research/rnn-lsa-kn5-cache-model-combination-w-linear-extrapolation.md) - [RNN+weight noise+dynamic eval](https://genailist.net/model/university-of-toronto/rnn-weight-noise-dynamic-eval.md) - [RNN-WER](https://genailist.net/model/deepmind/rnn-wer.md) - [RNNLM + Dynamic KL Regularization](https://genailist.net/model/northwestern-university/rnnlm-dynamic-kl-regularization.md) - [RNNLM + Dynamic KL Regularization (WT2)](https://genailist.net/model/northwestern-university/rnnlm-dynamic-kl-regularization-wt2.md) - [RNNsearch-50*](https://genailist.net/model/jacobs-university-bremen/rnnsearch-50.md) - [RNS-RNN](https://genailist.net/model/university-of-notre-dame/rns-rnn.md) - [RNTN](https://genailist.net/model/stanford-university/rntn.md) - [RQ-Transformer (1.4B params ImageNet dataset)](https://genailist.net/model/kakao/rq-transformer-1-4b-params-imagenet-dataset.md) - [RQ-Transformer (3.8B params ImageNet dataset)](https://genailist.net/model/kakao/rq-transformer-3-8b-params-imagenet-dataset.md) - [RQ-Transformer (LSUN-cat dataset)](https://genailist.net/model/kakao/rq-transformer-lsun-cat-dataset.md) - [RSM](https://genailist.net/model/cerenaut/rsm.md) - [RT-1](https://genailist.net/model/google/rt-1.md) - [RT-1 + AutoRT](https://genailist.net/model/google-deepmind/rt-1-autort.md) - [RT-2](https://genailist.net/model/google-deepmind/rt-2.md) - [RT-2-X](https://genailist.net/model/google-deepmind/rt-2-x.md) - [RT-Trajectory](https://genailist.net/model/google-deepmind/rt-trajectory.md) - [RWKV-4 14B](https://genailist.net/model/rwkv-foundation/rwkv-4-14b.md) - [RWKV-4 World (7B)](https://genailist.net/model/rwkv-foundation/rwkv-4-world-7b.md) - [RWKV-5 (Eagle) 7B](https://genailist.net/model/rwkv-foundation/rwkv-5-eagle-7b.md) - [RWKV-6 (Finch) 3B](https://genailist.net/model/rwkv-foundation/rwkv-6-finch-3b.md) - [RaSoR](https://genailist.net/model/korea-university/rasor.md) - [Rainbow DQN](https://genailist.net/model/deepmind/rainbow-dqn.md) - [RankBoost (EachMovie)](https://genailist.net/model/columbia-university/rankboost-eachmovie.md) - [RankBoost (meta-search)](https://genailist.net/model/columbia-university/rankboost-meta-search.md) - [RankNet](https://genailist.net/model/microsoft-research/ranknet.md) - [RaptorX-Contact](https://genailist.net/model/toyota-technological-institute-at-chicago/raptorx-contact.md) - [Ray3.2](https://genailist.net/model/luma-ai/ray3-2.md) - [Re-Dock](https://genailist.net/model/zhejiang-university-zju/re-dock.md) - [ReALM](https://genailist.net/model/apple/realm.md) - [ReLU (LFW)](https://genailist.net/model/university-of-toronto/relu-lfw.md) - [ReLU-Speech](https://genailist.net/model/google/relu-speech.md) - [Reading Twice for NLU](https://genailist.net/model/deepmind/reading-twice-for-nlu.md) - [Reason-ModernColBERT](https://genailist.net/model/lighton/reason-moderncolbert.md) - [RecGPT / Xingchen LLM (淘宝（中国）软件有限公司)](https://genailist.net/model/alibaba/recgpt-xingchen-llm.md) - [Recraft V2 (Recraft 20B)](https://genailist.net/model/recraft/recraft-v2-recraft-20b.md) - [Recraft V3](https://genailist.net/model/recraft/recraft-v3.md) - [Recraft V4](https://genailist.net/model/recraft/recraft-v4.md) - [Recraft V4.1](https://genailist.net/model/recraft/recraft-v4-1.md) - [Recursive Neural Network](https://genailist.net/model/stanford-university/recursive-neural-network.md) - [Recursive sentiment autoencoder](https://genailist.net/model/stanford-university/recursive-sentiment-autoencoder.md) - [RedPajama-INCITE-7B-Base](https://genailist.net/model/together/redpajama-incite-7b-base.md) - [Redwood AI](https://genailist.net/model/1x/redwood-ai.md) - [Refact-1.6B](https://genailist.net/model/refact-ai/refact-1-6b.md) - [RefineNet](https://genailist.net/model/university-of-adelaide/refinenet.md) - [Refined Part Pooling](https://genailist.net/model/tsinghua-university/refined-part-pooling.md) - [Reinvent 4](https://genailist.net/model/astrazeneca/reinvent-4.md) - [Reka Core](https://genailist.net/model/reka-ai/reka-core.md) - [Reka Edge](https://genailist.net/model/reka-ai/reka-edge.md) - [Reka Flash](https://genailist.net/model/reka-ai/reka-flash.md) - [Reka Flash 3](https://genailist.net/model/reka-ai/reka-flash-3.md) - [Relational Memory Core](https://genailist.net/model/deepmind/relational-memory-core.md) - [Repress](https://genailist.net/model/deepgenomics/repress.md) - [ResNeXt-101 (64×4d)](https://genailist.net/model/university-of-california-san-diego/resnext-101-64-4d.md) - [ResNeXt-101 32x48d](https://genailist.net/model/facebook/resnext-101-32x48d.md) - [ResNeXt-50](https://genailist.net/model/university-of-california-san-diego/resnext-50.md) - [ResNet-101 (ImageNet)](https://genailist.net/model/microsoft/resnet-101-imagenet.md) - [ResNet-152 (ImageNet)](https://genailist.net/model/microsoft/resnet-152-imagenet.md) - [ResNet-152 + ObjectNet](https://genailist.net/model/massachusetts-institute-of-technology-mit/resnet-152-objectnet.md) - [ResNet-200](https://genailist.net/model/microsoft-research-asia/resnet-200.md) - [ResNet-RS](https://genailist.net/model/google-brain/resnet-rs.md) - [Residual Dense Network](https://genailist.net/model/northeastern-university/residual-dense-network.md) - [Restricted Boltzmann machine for Face Recognition](https://genailist.net/model/university-of-toronto/restricted-boltzmann-machine-for-face-recognition.md) - [RetNet](https://genailist.net/model/microsoft-research/retnet.md) - [Rethinking Molecular Design: Integrating Latent Variable and Auto-Regressive Models for Goal Directed Generation](https://genailist.net/model/eth-zurich/rethinking-molecular-design-integrating-latent-variable-and-auto-regressive-models-for-goal-directed-generation.md) - [RetinaNet-R101](https://genailist.net/model/facebook-ai-research/retinanet-r101.md) - [Retrieval-Augmented Generator](https://genailist.net/model/facebook/retrieval-augmented-generator.md) - [Reve 2.0](https://genailist.net/model/reve-ai/reve-2-0.md) - [RiNALMo](https://genailist.net/model/university-of-zagreb/rinalmo.md) - [RiboCode](https://genailist.net/model/sun-yat-sen-university/ribocode.md) - [RiboDiffusion](https://genailist.net/model/beihang-university/ribodiffusion.md) - [Rime Coda](https://genailist.net/model/rime/rime-coda.md) - [Ring-1T](https://genailist.net/model/ant-group/ring-1t.md) - [Ring-flash-linear-2.0](https://genailist.net/model/ant-group/ring-flash-linear-2-0.md) - [Ring-mini-linear-2.0](https://genailist.net/model/ant-group/ring-mini-linear-2-0.md) - [Rita-XLarge](https://genailist.net/model/lighton/rita-xlarge.md) - [RoBERTa (PFAM)](https://genailist.net/model/ibm-research/roberta-pfam.md) - [RoBERTa Base](https://genailist.net/model/facebook/roberta-base.md) - [RoBERTa Large](https://genailist.net/model/facebook/roberta-large.md) - [RoFormer](https://genailist.net/model/zhuiyi-technology/roformer.md) - [RoboCat](https://genailist.net/model/google-deepmind/robocat.md) - [Robostral Navigate](https://genailist.net/model/mistral-ai/robostral-navigate-1.md) - [Robot Parkour](https://genailist.net/model/shanghai-qi-zhi-institute/robot-parkour.md) - [Rodin Gen-2.5](https://genailist.net/model/deemos/rodin-gen-2-5.md) - [RoseTTAFold All-Atom (RFAA)](https://genailist.net/model/university-of-washington/rosettafold-all-atom-rfaa.md) - [RoseTTAFold2-Lite](https://genailist.net/model/university-of-washington/rosettafold2-lite.md) - [Routing Transformer (WT-103)](https://genailist.net/model/google-research/routing-transformer-wt-103.md) - [Rubik (Rubik魔方大模型)](https://genailist.net/model/thunder-software-technology-co/rubik-rubik.md) - [Rubik's cube ADR robot](https://genailist.net/model/openai/rubik-s-cube-adr-robot.md) - [S + I-Attention (3)](https://genailist.net/model/national-research-university-higher-school-of-economics/s-i-attention-3.md) - [S-Norm](https://genailist.net/model/university-of-washington/s-norm.md) - [S4](https://genailist.net/model/stanford-university/s4.md) - [SAAMBE-MEM](https://genailist.net/model/clemson-university/saambe-mem.md) - [SAF R-CNN](https://genailist.net/model/beijing-institute-of-technology/saf-r-cnn.md) - [SAGAN](https://genailist.net/model/rutgers-university/sagan.md) - [SANA 1.5 4.8B](https://genailist.net/model/nvidia/sana-1-5-4-8b.md) - [SANA 1.6B](https://genailist.net/model/nvidia/sana-1-6b.md) - [SARA-RT-2](https://genailist.net/model/google-deepmind/sara-rt-2.md) - [SB-LM](https://genailist.net/model/google/sb-lm.md) - [SC-NLM](https://genailist.net/model/university-of-toronto/sc-nlm.md) - [SCUBA-D](https://genailist.net/model/university-of-science-and-technology-of-china-ustc/scuba-d.md) - [SD-Turbo](https://genailist.net/model/stability-ai/sd-turbo.md) - [SDE](https://genailist.net/model/carnegie-mellon-university-cmu/sde.md) - [SDXL-Lightning](https://genailist.net/model/bytedance/sdxl-lightning.md) - [SEA-LION V1 3B](https://genailist.net/model/ai-singapore/sea-lion-v1-3b.md) - [SEA-LION V1 7B](https://genailist.net/model/ai-singapore/sea-lion-v1-7b.md) - [SEA-LION V3 Gemma2 9B](https://genailist.net/model/ai-singapore/sea-lion-v3-gemma2-9b.md) - [SEA-LION V3 Llama3.1 70B](https://genailist.net/model/ai-singapore/sea-lion-v3-llama3-1-70b.md) - [SEA-LION V3 Llama3.1 8B](https://genailist.net/model/ai-singapore/sea-lion-v3-llama3-1-8b.md) - [SEA-LION-v1-7B-IT](https://genailist.net/model/ai-singapore/sea-lion-v1-7b-it.md) - [SEER](https://genailist.net/model/facebook-ai-research/seer.md) - [SEST](https://genailist.net/model/carnegie-mellon-university-cmu/sest.md) - [SGPT BE 5.8B](https://genailist.net/model/peking-university/sgpt-be-5-8b.md) - [SHIFT-SUV](https://genailist.net/model/luminary-cloud/shift-suv.md) - [SI-PLM](https://genailist.net/model/university-of-pittsburgh/si-plm.md) - [SILC-S](https://genailist.net/model/eth-zurich/silc-s.md) - [SILC-S* (86M)](https://genailist.net/model/eth-zurich/silc-s-86m.md) - [SIMA](https://genailist.net/model/google-deepmind/sima.md) - [SK Telecom Telco](https://genailist.net/model/sk-telecom/sk-telecom-telco.md) - [SNM-skip](https://genailist.net/model/google/snm-skip.md) - [SO3LR](https://genailist.net/model/university-of-luxembourg/so3lr.md) - [SOM-CNN](https://genailist.net/model/unknown/som-cnn.md) - [SPALM + kNN](https://genailist.net/model/deepmind/spalm-knn.md) - [SPHINX (Llama 2 13B)](https://genailist.net/model/shanghai-ai-lab/sphinx-llama-2-13b.md) - [SPIDER2](https://genailist.net/model/griffith-university/spider2.md) - [SPN (CelebA HQ)](https://genailist.net/model/google-brain/spn-celeba-hq.md) - [SPN (ImageNet 128)](https://genailist.net/model/google-brain/spn-imagenet-128.md) - [SPN-4](https://genailist.net/model/singapore-university-of-technology-design/spn-4.md) - [SPN-4+KN5](https://genailist.net/model/singapore-university-of-technology-design/spn-4-kn5.md) - [SPOT](https://genailist.net/model/heinrich-heine-university/spot.md) - [SPPNet](https://genailist.net/model/microsoft/sppnet.md) - [SRGAN](https://genailist.net/model/twitter/srgan.md) - [SRU++ Base](https://genailist.net/model/asapp/sru-base.md) - [SRU++ Large](https://genailist.net/model/asapp/sru-large.md) - [SRU++ Large only 2 attention layers (k=5) (WT103)](https://genailist.net/model/asapp/sru-large-only-2-attention-layers-k-5-wt103.md) - [SS-pLM](https://genailist.net/model/nostrum-biodiscovery/ss-plm.md) - [SSA](https://genailist.net/model/massachusetts-institute-of-technology-mit/ssa.md) - [SSD](https://genailist.net/model/unknown/ssd.md) - [ST-MoE](https://genailist.net/model/google/st-moe.md) - [STAGE](https://genailist.net/model/sapienza-nlp/stage-music-gen.md) - [STEPS](https://genailist.net/model/mcgill-university/steps.md) - [STORM-B/8](https://genailist.net/model/university-of-southern-california/storm-b-8.md) - [STT Conformer-Transducer XL](https://genailist.net/model/nvidia/stt-conformer-transducer-xl.md) - [STeLLA](https://genailist.net/model/university-of-canterbury/stella.md) - [SVD in recommender systems](https://genailist.net/model/university-of-minnesota/svd-in-recommender-systems.md) - [SVM-CNN](https://genailist.net/model/new-york-university-nyu/svm-cnn.md) - [SWE-1.5](https://genailist.net/model/cognition/swe-1-5.md) - [SWE-1.7](https://genailist.net/model/cognition/swe-1-7.md) - [SYNTERACT](https://genailist.net/model/university-of-delaware/synteract.md) - [SaProt](https://genailist.net/model/zhejiang-university-zju/saprot.md) - [Saaras v1](https://genailist.net/model/sarvam/saaras-v1.md) - [Sailor-7B-Chat](https://genailist.net/model/sea-ai-lab/sailor-7b-chat.md) - [Sakana Fugu](https://genailist.net/model/sakana-ai/sakana-fugu.md) - [Samba 3.8B](https://genailist.net/model/microsoft/samba-3-8b.md) - [SambaLingo-Thai-Chat (7B)](https://genailist.net/model/sambanova-systems/sambalingo-thai-chat-7b.md) - [SambaLingo-Thai-Chat-70B](https://genailist.net/model/sambanova-systems/sambalingo-thai-chat-70b.md) - [Samsung Gauss Code](https://genailist.net/model/samsung/samsung-gauss-code.md) - [Samsung Gauss Image](https://genailist.net/model/samsung/samsung-gauss-image.md) - [Samsung Gauss Language](https://genailist.net/model/samsung/samsung-gauss-language.md) - [Samuel Neural Checkers](https://genailist.net/model/ibm/samuel-neural-checkers.md) - [Sandstorm (DARPA Grand Challenge I)](https://genailist.net/model/carnegie-mellon-university-cmu/sandstorm-darpa-grand-challenge-i.md) - [Sandwich Transformer](https://genailist.net/model/allen-institute-for-ai/sandwich-transformer.md) - [SantaCoder](https://genailist.net/model/hugging-face/santacoder.md) - [SauTech](https://genailist.net/model/saudi-data-and-artificial-intelligence-authority/sautech.md) - [SaulLM-large](https://genailist.net/model/equall-ai/saullm-large.md) - [Scatterbrain](https://genailist.net/model/stanford-university/scatterbrain.md) - [SciBERT](https://genailist.net/model/allen-institute-for-ai/scibert.md) - [ScribblePrompt-SAM](https://genailist.net/model/massachusetts-institute-of-technology-mit/scribbleprompt-sam.md) - [Sculpt4D](https://genailist.net/model/tencent-arc-lab/sculpt4d.md) - [SeaLLM-7B-v2](https://genailist.net/model/alibaba-damo-academy/seallm-7b-v2.md) - [SeaLLM-7B-v2.5](https://genailist.net/model/alibaba-damo-academy/seallm-7b-v2-5.md) - [SeaMoon](https://genailist.net/model/sorbonne-university/seamoon.md) - [SeamlessM4T](https://genailist.net/model/facebook/seamlessm4t.md) - [Search-Proven Best LSTM](https://genailist.net/model/google/search-proven-best-lstm.md) - [SearchGPT](https://genailist.net/model/openai/searchgpt.md) - [Seaweed-7B](https://genailist.net/model/bytedance/seaweed-7b.md) - [Sec-Gemini v1](https://genailist.net/model/google/sec-gemini-v1.md) - [Seed 1.6](https://genailist.net/model/bytedance/seed-1-6.md) - [Seed 2.0 Code](https://genailist.net/model/bytedance/seed-2-0-code.md) - [Seed 2.0 Lite](https://genailist.net/model/bytedance/seed-2-0-lite.md) - [Seed 2.0 Mini](https://genailist.net/model/bytedance/seed-2-0-mini.md) - [Seed 2.0 Pro](https://genailist.net/model/bytedance/seed-2-0-pro.md) - [Seed Prover](https://genailist.net/model/bytedance/seed-prover.md) - [Seed Prover 1.5](https://genailist.net/model/bytedance/seed-prover-1-5.md) - [Seed-1.6-Thinking](https://genailist.net/model/bytedance/seed-1-6-thinking.md) - [Seed-OSS-36B-Base](https://genailist.net/model/bytedance/seed-oss-36b-base.md) - [Seed1.5-Embedding](https://genailist.net/model/bytedance/seed1-5-embedding.md) - [Seed1.5-VL](https://genailist.net/model/bytedance/seed1-5-vl.md) - [Seed1.8](https://genailist.net/model/bytedance/seed1-8.md) - [SeedEdit](https://genailist.net/model/bytedance/seededit.md) - [SeedLLM](https://genailist.net/model/unknown/seedllm.md) - [Seedance 1.0](https://genailist.net/model/bytedance/seedance-1-0.md) - [Seedance 1.5 pro](https://genailist.net/model/bytedance/seedance-1-5-pro.md) - [Seedance 2.0](https://genailist.net/model/bytedance/seedance-2-0.md) - [Seedance 2.0 Mini](https://genailist.net/model/bytedance/seedance-2-0-mini.md) - [Seedance 2.5](https://genailist.net/model/bytedance/seedance-2-5.md) - [Seedream 2.0](https://genailist.net/model/bytedance/seedream-2-0.md) - [Seedream 3.0](https://genailist.net/model/bytedance/seedream-3-0.md) - [Seedream 4.0](https://genailist.net/model/bytedance/seedream-4-0.md) - [Segatron -XL base, M=150 + HCP](https://genailist.net/model/microsoft-research/segatron-xl-base-m-150-hcp.md) - [Segatron XL base, M=384](https://genailist.net/model/university-of-waterloo/segatron-xl-base-m-384.md) - [Segatron XL large, M=384](https://genailist.net/model/university-of-waterloo/segatron-xl-large-m-384.md) - [Segatron-XL large, M=384 + HCP](https://genailist.net/model/microsoft-research/segatron-xl-large-m-384-hcp.md) - [Segment Anything Model](https://genailist.net/model/meta-ai/segment-anything-model.md) - [Segment Anything Model 2](https://genailist.net/model/meta-ai/segment-anything-model-2.md) - [Segmental RNN](https://genailist.net/model/university-of-edinburgh/segmental-rnn.md) - [Self-Attention and Convolutional Layers](https://genailist.net/model/ecole-polytechnique-f-ed-erale-de-lausanne-epfl/self-attention-and-convolutional-layers.md) - [Self-Organizing Nets of Threshold Elements](https://genailist.net/model/university-of-tokyo/self-organizing-nets-of-threshold-elements.md) - [Selfish-RNN (AWD-LSTM-MoS)](https://genailist.net/model/eindhoven-university-of-technology/selfish-rnn-awd-lstm-mos.md) - [Selfish-RNN (ON-LSTM)](https://genailist.net/model/eindhoven-university-of-technology/selfish-rnn-on-lstm.md) - [Selfish-RNN (SNT-ASGD) Stacked LSTMs](https://genailist.net/model/eindhoven-university-of-technology/selfish-rnn-snt-asgd-stacked-lstms.md) - [Selfish-RNN (SNT-ASGD)RHNs](https://genailist.net/model/eindhoven-university-of-technology/selfish-rnn-snt-asgd-rhns.md) - [SemExp](https://genailist.net/model/carnegie-mellon-university-cmu/semexp.md) - [SemVec](https://genailist.net/model/microsoft-research/semvec.md) - [Semi-Supervised Embedding for DL](https://genailist.net/model/google/semi-supervised-embedding-for-dl.md) - [SenseChat](https://genailist.net/model/sensetime/sensechat.md) - [SenseChat 4.0](https://genailist.net/model/sensetime/sensechat-4-0.md) - [SenseChat 5.0](https://genailist.net/model/sensetime/sensechat-5-0.md) - [SenseChat 5.5](https://genailist.net/model/sensetime/sensechat-5-5.md) - [SenseChat-DataAnalysis V4](https://genailist.net/model/sensetime/sensechat-dataanalysis-v4.md) - [SenseChat-Medical V4](https://genailist.net/model/sensetime/sensechat-medical-v4.md) - [SenseChat-Vision V4](https://genailist.net/model/sensetime/sensechat-vision-v4.md) - [SenseMirage V4](https://genailist.net/model/sensetime/sensemirage-v4.md) - [SenseNova U1](https://genailist.net/model/sensetime/sensenova-u1.md) - [SenseNova Unified Large Model](https://genailist.net/model/sensetime/sensenova-unified-large-model.md) - [SenseNova V6](https://genailist.net/model/sensetime/sensenova-v6.md) - [Seq2Seq LSTM](https://genailist.net/model/google/seq2seq-lstm.md) - [SeqVec](https://genailist.net/model/technical-university-of-munich/seqvec.md) - [Sequence Monkey (序列猴子)](https://genailist.net/model/mobvoi/sequence-monkey.md) - [Sequence-based pattern recognition](https://genailist.net/model/massachusetts-institute-of-technology-mit/sequence-based-pattern-recognition.md) - [SexNet classification](https://genailist.net/model/unknown/sexnet-classification.md) - [SexNet compression](https://genailist.net/model/unknown/sexnet-compression.md) - [Shanhai](https://genailist.net/model/unisound/shanhai.md) - [Shanhai 2.0](https://genailist.net/model/unknown/shanhai-2-0.md) - [ShapeMol](https://genailist.net/model/ohio-state-university/shapemol.md) - [Shishuo](https://genailist.net/model/4paradigm/shishuo.md) - [Shortformer](https://genailist.net/model/university-of-washington/shortformer.md) - [Show-1](https://genailist.net/model/national-university-of-singapore/show-1.md) - [Shuka-1](https://genailist.net/model/sarvam/shuka-1.md) - [Shutterstock ImageAI](https://genailist.net/model/databricks/shutterstock-imageai.md) - [Siamese-TDNN](https://genailist.net/model/bell-laboratories/siamese-tdnn.md) - [Sibilia-TTS](https://genailist.net/model/deepmount00/sibilia-tts.md) - [SigLIP 2](https://genailist.net/model/google-deepmind/siglip-2.md) - [SigLIP 400M](https://genailist.net/model/google-deepmind/siglip-400m.md) - [SigLiT](https://genailist.net/model/google-deepmind/siglit.md) - [SignGemma](https://genailist.net/model/google/signgemma.md) - [Signal Processing Transformer](https://genailist.net/model/softbank/signal-processing-transformer.md) - [SignalP 6.0](https://genailist.net/model/technical-university-of-denmark/signalp-6-0.md) - [SimCSE](https://genailist.net/model/princeton-university/simcse.md) - [SimPO](https://genailist.net/model/princeton-university/simpo.md) - [SimpleFold](https://genailist.net/model/apple/simplefold.md) - [SimpleNet](https://genailist.net/model/sensifai/simplenet.md) - [SimuParallelSGD](https://genailist.net/model/yahoo-research/simuparallelsgd.md) - [Skiff LLM (一叶轻舟大语言模型)](https://genailist.net/model/shiyin-intelligent-technology-co/skiff-llm.md) - [Skip-Thoughts](https://genailist.net/model/university-of-toronto/skip-thoughts.md) - [SkyClaw-v1.0](https://genailist.net/model/skywork/skyclaw-v1-0.md) - [SkyReels-A1](https://genailist.net/model/kunlun-inc/skyreels-a1.md) - [SkyReels-A2](https://genailist.net/model/kunlun-inc/skyreels-a2.md) - [SkyReels-V2](https://genailist.net/model/kunlun-inc/skyreels-v2.md) - [Skywork-13B](https://genailist.net/model/kunlun-inc/skywork-13b.md) - [Skywork-OR1-32B](https://genailist.net/model/kunlun-inc/skywork-or1-32b.md) - [Skywork-R1V3](https://genailist.net/model/kunlun-inc/skywork-r1v3.md) - [Smaug-34B](https://genailist.net/model/abacus-ai/smaug-34b.md) - [Smaug-72B](https://genailist.net/model/abacus-ai/smaug-72b.md) - [SmolLM-1.7B](https://genailist.net/model/unknown/smollm-1-7b.md) - [SmooCT](https://genailist.net/model/university-college-london-ucl/smooct.md) - [Soccer Robot](https://genailist.net/model/google-deepmind/soccer-robot.md) - [Solar Open 2](https://genailist.net/model/upstage/solar-open-2.md) - [Solar Pro](https://genailist.net/model/upstage/solar-pro.md) - [Solar Stone Mining Large Model](https://genailist.net/model/unknown/solar-stone-mining-large-model.md) - [Solar-10.7B (Solar Mini)](https://genailist.net/model/upstage/solar-10-7b-solar-mini.md) - [Sonar](https://genailist.net/model/perplexity/sonar.md) - [Sonar Deep Research](https://genailist.net/model/perplexity/sonar-deep-research.md) - [Sonar Pro](https://genailist.net/model/perplexity/sonar-pro.md) - [Sonar Reasoning](https://genailist.net/model/perplexity/sonar-reasoning.md) - [Sonar Reasoning Pro](https://genailist.net/model/perplexity/sonar-reasoning-pro.md) - [Sonic](https://genailist.net/model/cartesia/sonic.md) - [Sonic 2](https://genailist.net/model/cartesia/sonic-2.md) - [Sonic-3.5](https://genailist.net/model/cartesia/sonic-3-5.md) - [Sora](https://genailist.net/model/openai/sora.md) - [Sora 2.0](https://genailist.net/model/openai/sora-2-0.md) - [Sora Turbo](https://genailist.net/model/openai/sora-turbo.md) - [Spark](https://genailist.net/model/iflytek/spark.md) - [Spark 2.0](https://genailist.net/model/iflytek/spark-2-0.md) - [Spark 3.0](https://genailist.net/model/iflytek/spark-3-0.md) - [Spark 4.0](https://genailist.net/model/iflytek/spark-4-0.md) - [Spark-X1](https://genailist.net/model/iflytek/spark-x1.md) - [Sparrow](https://genailist.net/model/deepmind/sparrow.md) - [Sparse Transformer (CIFAR10)](https://genailist.net/model/openai/sparse-transformer-cifar10.md) - [Sparse Transformer (Enwik8)](https://genailist.net/model/openai/sparse-transformer-enwik8.md) - [Sparse Transformer (ImageNet)](https://genailist.net/model/openai/sparse-transformer-imagenet.md) - [Sparse Vision Encoding](https://genailist.net/model/stanford-university/sparse-vision-encoding.md) - [Sparse Wide GPT-3 Small](https://genailist.net/model/cerebras-systems/sparse-wide-gpt-3-small.md) - [Sparse all-MLP](https://genailist.net/model/meta-ai/sparse-all-mlp.md) - [Sparse digit recognition SVM](https://genailist.net/model/university-of-lubeck/sparse-digit-recognition-svm.md) - [SparseOPT-13B](https://genailist.net/model/institute-of-science-and-technology-austria-ista/sparseopt-13b.md) - [SparseOPT-175B](https://genailist.net/model/institute-of-science-and-technology-austria-ista/sparseopt-175b.md) - [SparseOPT-30B](https://genailist.net/model/institute-of-science-and-technology-austria-ista/sparseopt-30b.md) - [SparseOPT-66B](https://genailist.net/model/institute-of-science-and-technology-austria-ista/sparseopt-66b.md) - [Spatial Pyramid Matching](https://genailist.net/model/inria/spatial-pyramid-matching.md) - [Spatially-Sparse CNN](https://genailist.net/model/university-of-warwick/spatially-sparse-cnn.md) - [Speaker-independent vowel classification](https://genailist.net/model/university-of-washington/speaker-independent-vowel-classification.md) - [Spec-Drafter](https://genailist.net/model/peking-university/spec-drafter.md) - [SpecAugment](https://genailist.net/model/google-brain/specaugment.md) - [Specter](https://genailist.net/model/allen-institute-for-ai/specter.md) - [Spectrally Normalized GAN](https://genailist.net/model/preferred-networks-inc/spectrally-normalized-gan.md) - [Speechmatics Enhanced](https://genailist.net/model/speechmatics/speechmatics-enhanced.md) - [Speechmatics Standard](https://genailist.net/model/speechmatics/speechmatics-standard.md) - [Stable Audio 3.0](https://genailist.net/model/stability-ai/stable-audio-3-0.md) - [Stable Beluga 1](https://genailist.net/model/stability-ai/stable-beluga-1.md) - [Stable Beluga 2](https://genailist.net/model/stability-ai/stable-beluga-2.md) - [Stable Cascade](https://genailist.net/model/stability-ai/stable-cascade.md) - [Stable Code 3B](https://genailist.net/model/stability-ai/stable-code-3b.md) - [Stable Diffusion (LDM-KL-8-G)](https://genailist.net/model/runway/stable-diffusion-ldm-kl-8-g.md) - [Stable Diffusion 1.1](https://genailist.net/model/ludwig-maximilian-university-of-munich/stable-diffusion-1-1.md) - [Stable Diffusion 1.2](https://genailist.net/model/ludwig-maximilian-university-of-munich/stable-diffusion-1-2.md) - [Stable Diffusion 1.4](https://genailist.net/model/ludwig-maximilian-university-of-munich/stable-diffusion-1-4.md) - [Stable Diffusion 1.5](https://genailist.net/model/runway/stable-diffusion-1-5.md) - [Stable Diffusion 1.6](https://genailist.net/model/stability-ai/stable-diffusion-1-6.md) - [Stable Diffusion 2.1](https://genailist.net/model/stability-ai/stable-diffusion-2-1.md) - [Stable Diffusion 3](https://genailist.net/model/stability-ai/stable-diffusion-3.md) - [Stable Diffusion 3 Medium](https://genailist.net/model/stability-ai/stable-diffusion-3-medium.md) - [Stable Diffusion 3.5 Large](https://genailist.net/model/stability-ai/stable-diffusion-3-5-large.md) - [Stable Diffusion 3.5 Large Turbo](https://genailist.net/model/stability-ai/stable-diffusion-3-5-large-turbo.md) - [Stable Diffusion 3.5 Medium](https://genailist.net/model/stability-ai/stable-diffusion-3-5-medium.md) - [Stable Diffusion XL (SDXL)](https://genailist.net/model/stability-ai/stable-diffusion-xl-sdxl.md) - [Stable LM 2 12B](https://genailist.net/model/stability-ai/stable-lm-2-12b.md) - [Stable Point Aware 3D (SPAR3D)](https://genailist.net/model/stability-ai/stable-point-aware-3d-spar3d.md) - [Stable Video 3D (SV3D)](https://genailist.net/model/stability-ai/stable-video-3d-sv3d.md) - [Stable Video 4D (SV4D)](https://genailist.net/model/stability-ai/stable-video-4d-sv4d.md) - [Stable Video 4D 2.0 (SV4D 2.0)](https://genailist.net/model/stability-ai/stable-video-4d-2-0-sv4d-2-0.md) - [Stable Video Diffusion](https://genailist.net/model/stability-ai/stable-video-diffusion.md) - [StableLM - Zephyr 3B](https://genailist.net/model/stability-ai/stablelm-zephyr-3b.md) - [StableLM-2-1.6B](https://genailist.net/model/stability-ai/stablelm-2-1-6b.md) - [StableLM-2-12B](https://genailist.net/model/stability-ai/stablelm-2-12b.md) - [StableLM-3B-4E1T](https://genailist.net/model/stability-ai/stablelm-3b-4e1t.md) - [StableLM-Base-Alpha-7B](https://genailist.net/model/stability-ai/stablelm-base-alpha-7b.md) - [Stacked Denoising Autoencoders](https://genailist.net/model/university-of-montreal-universit-de-montr-al/stacked-denoising-autoencoders.md) - [Stacked hourglass network](https://genailist.net/model/university-of-michigan/stacked-hourglass-network.md) - [Stanley (DARPA Grand Challenge 2)](https://genailist.net/model/stanford-university/stanley-darpa-grand-challenge-2.md) - [StarCoder 2 15B](https://genailist.net/model/hugging-face/starcoder-2-15b.md) - [StarCoder 2 3B](https://genailist.net/model/hugging-face/starcoder-2-3b.md) - [StarCoder 2 7B](https://genailist.net/model/hugging-face/starcoder-2-7b.md) - [StarGAN v2](https://genailist.net/model/naver/stargan-v2.md) - [Starling-LM-7B-alpha](https://genailist.net/model/university-of-california-uc-berkeley/starling-lm-7b-alpha.md) - [Statement Curriculum Learning](https://genailist.net/model/openai/statement-curriculum-learning.md) - [Statistical Shape Constellations](https://genailist.net/model/california-institute-of-technology/statistical-shape-constellations.md) - [Statistical continuous speech recognizer](https://genailist.net/model/massachusetts-institute-of-technology-mit/statistical-continuous-speech-recognizer.md) - [Step 3.7 Flash](https://genailist.net/model/stepfun/step-3-7-flash.md) - [Step Image Edit 2](https://genailist.net/model/stepfun/step-image-edit-2.md) - [Step-1](https://genailist.net/model/stepfun/step-1.md) - [Step-1.5V](https://genailist.net/model/stepfun/step-1-5v.md) - [Step-1X](https://genailist.net/model/stepfun/step-1x.md) - [Step-2](https://genailist.net/model/stepfun/step-2.md) - [Step-Audio-Chat 130B](https://genailist.net/model/stepfun/step-audio-chat-130b.md) - [Step-Audio-R1.5](https://genailist.net/model/stepfun/step-audio-r1-5.md) - [Step-Audio-TTS-3B](https://genailist.net/model/stepfun/step-audio-tts-3b.md) - [Step-Omni](https://genailist.net/model/stepfun/step-omni.md) - [Step-Video-T2V](https://genailist.net/model/stepfun/step-video-t2v.md) - [StepAudio 2.5 Realtime](https://genailist.net/model/stepfun/stepaudio-2-5-realtime.md) - [Stockmark-13B](https://genailist.net/model/stockmark/stockmark-13b.md) - [StripedHyena-Hessian-7B](https://genailist.net/model/together/stripedhyena-hessian-7b.md) - [Structure-Informed Protein Language Model](https://genailist.net/model/mila-quebec-ai-originally-montreal-institute-for-learning-algorithms/structure-informed-protein-language-model.md) - [Student of Games](https://genailist.net/model/deepmind/student-of-games.md) - [StyleGAN](https://genailist.net/model/nvidia/stylegan.md) - [StyleGAN-XL](https://genailist.net/model/max-planck-institute-for-intelligent-systems/stylegan-xl.md) - [StyleGAN2](https://genailist.net/model/nvidia/stylegan2.md) - [StyleGAN3-R](https://genailist.net/model/nvidia/stylegan3-r.md) - [StyleGAN3-T](https://genailist.net/model/nvidia/stylegan3-t.md) - [StyleTTS 2](https://genailist.net/model/columbia-university/styletts-2.md) - [Subformer (122M)](https://genailist.net/model/national-institute-of-advanced-industrial-science-and-technology-aist/subformer-122m.md) - [Subformer (83M)](https://genailist.net/model/university-of-tokyo/subformer-83m.md) - [Subformer (96M)](https://genailist.net/model/university-of-tokyo/subformer-96m.md) - [Suno Bark Model](https://genailist.net/model/suno/suno-bark-model.md) - [Suno Music Generation](https://genailist.net/model/suno/suno-music-generation.md) - [Suno v3](https://genailist.net/model/suno/suno-v3.md) - [Suno v4](https://genailist.net/model/suno/suno-v4.md) - [Suno v5](https://genailist.net/model/suno/suno-v5.md) - [Super XiaoAI](https://genailist.net/model/unknown/super-xiaoai.md) - [Super-vector coding](https://genailist.net/model/university-of-illinois-urbana-champaign-uiuc/super-vector-coding.md) - [Surya](https://genailist.net/model/nasa/surya.md) - [Swallow](https://genailist.net/model/tokyo-institute-of-technology/swallow.md) - [Swift](https://genailist.net/model/intel-labs/swift.md) - [Swin Transformer V2 (SwinV2-G)](https://genailist.net/model/microsoft-research-asia/swin-transformer-v2-swinv2-g.md) - [Switch](https://genailist.net/model/google/switch.md) - [Symmetric Residual Encoder-Decoder Net](https://genailist.net/model/nanjing-university/symmetric-residual-encoder-decoder-net.md) - [Synergistic Face Detector](https://genailist.net/model/nec-laboratories/synergistic-face-detector.md) - [System 11](https://genailist.net/model/carnegie-mellon-university-cmu/system-11.md) - [T-DMCA](https://genailist.net/model/google-brain/t-dmca.md) - [T-Lite](https://genailist.net/model/t-bank/t-lite.md) - [T-NLRv5 XXL](https://genailist.net/model/microsoft/t-nlrv5-xxl.md) - [T-Pro](https://genailist.net/model/t-bank/t-pro.md) - [T-Pro 2.0](https://genailist.net/model/t-bank/t-pro-2-0.md) - [T0-XXL](https://genailist.net/model/hugging-face/t0-xxl.md) - [T2R + Pretrain](https://genailist.net/model/university-of-washington/t2r-pretrain.md) - [T2R + Random Init](https://genailist.net/model/university-of-washington/t2r-random-init.md) - [T2R 75% + Pretrain (WT-103)](https://genailist.net/model/university-of-washington/t2r-75-pretrain-wt-103.md) - [T2V-Turbo-v2](https://genailist.net/model/university-of-california-santa-barbara-ucsb/t2v-turbo-v2.md) - [T5-11B](https://genailist.net/model/google/t5-11b.md) - [T5-3B](https://genailist.net/model/google/t5-3b.md) - [T5Gemma (Gemma 9B-9B)](https://genailist.net/model/google-deepmind/t5gemma-gemma-9b-9b.md) - [TA-CNN](https://genailist.net/model/chinese-university-of-hong-kong-cuhk/ta-cnn.md) - [TAIDE LX-13B](https://genailist.net/model/national-science-and-technology-council/taide-lx-13b.md) - [TAIDE-LX-7B](https://genailist.net/model/national-science-and-technology-council/taide-lx-7b.md) - [TAIWAN-LLM 13B](https://genailist.net/model/national-taiwan-university/taiwan-llm-13b.md) - [TAIWAN-LLM 7B](https://genailist.net/model/national-taiwan-university/taiwan-llm-7b.md) - [TAPE Transformer](https://genailist.net/model/university-of-california-uc-berkeley/tape-transformer.md) - [TAWFN](https://genailist.net/model/northeastern-university-china/tawfn.md) - [TC-DNN-BLSTM-DNN](https://genailist.net/model/carnegie-mellon-university-cmu/tc-dnn-blstm-dnn.md) - [TCAN (PTB)](https://genailist.net/model/ant-group/tcan-ptb.md) - [TCAN (WT2)](https://genailist.net/model/nanjing-university/tcan-wt2.md) - [TCN (13M)](https://genailist.net/model/carnegie-mellon-university-cmu/tcn-13m.md) - [TCN (P-MNIST)](https://genailist.net/model/carnegie-mellon-university-cmu/tcn-p-mnist.md) - [TD-Gammon](https://genailist.net/model/ibm/td-gammon.md) - [TF-LM-discourse LSTM (PTB)](https://genailist.net/model/esat-psi/tf-lm-discourse-lstm-ptb.md) - [TF-LM-discourse LSTM (WT2)](https://genailist.net/model/esat-psi/tf-lm-discourse-lstm-wt2.md) - [TFE SVM](https://genailist.net/model/centre-de-recherche-en-automatique-de-nancy-cran/tfe-svm.md) - [TOME](https://genailist.net/model/university-of-southern-california/tome.md) - [TRIMELMext (247M)](https://genailist.net/model/princeton-university/trimelmext-247m.md) - [TRIMELMext (7M)](https://genailist.net/model/princeton-university/trimelmext-7m.md) - [TRIMELMlong (150M)](https://genailist.net/model/princeton-university/trimelmlong-150m.md) - [TRPO](https://genailist.net/model/university-of-california-uc-berkeley/trpo.md) - [TSLM+MoS (PTB)](https://genailist.net/model/tianjin-university/tslm-mos-ptb.md) - [TSN](https://genailist.net/model/eth-zurich/tsn.md) - [TW3-JRGL-v2](https://genailist.net/model/french-engineering-school-ece/tw3-jrgl-v2.md) - [TaLK Convolution](https://genailist.net/model/carleton-university/talk-convolution.md) - [Table Tennis Agent](https://genailist.net/model/google-deepmind/table-tennis-agent.md) - [Table-GPT](https://genailist.net/model/microsoft-research/table-gpt.md) - [Tacotron](https://genailist.net/model/google/tacotron.md) - [Tacotron 2](https://genailist.net/model/google/tacotron-2.md) - [Tagging via Viterbi Decoding](https://genailist.net/model/at-t/tagging-via-viterbi-decoding.md) - [Taiyi (旷视太乙)](https://genailist.net/model/megvii-inc/taiyi.md) - [Taiyi-Stable Diffusion](https://genailist.net/model/idea-ccnl/taiyi-stable-diffusion.md) - [Takane](https://genailist.net/model/fujitsu/takane.md) - [Talent Search and Recommendation Systems](https://genailist.net/model/linkedin/talent-search-and-recommendation-systems.md) - [TasiChat (TasiChat大模型)](https://genailist.net/model/chengdu-tasi-technology-co/tasichat-tasichat.md) - [TeleChat](https://genailist.net/model/china-telecom/telechat.md) - [TeleChat-12B](https://genailist.net/model/china-telecom/telechat-12b.md) - [TeleChat-3B](https://genailist.net/model/china-telecom/telechat-3b.md) - [TeleChat-7B](https://genailist.net/model/china-telecom/telechat-7b.md) - [TeleChat2-35B](https://genailist.net/model/china-telecom/telechat2-35b.md) - [TeleChat2-3B](https://genailist.net/model/china-telecom/telechat2-3b.md) - [TeleChat2-7B](https://genailist.net/model/china-telecom/telechat2-7b.md) - [Telechat2-115B](https://genailist.net/model/china-telecom/telechat2-115b.md) - [Template Adaptation](https://genailist.net/model/university-of-oxford/template-adaptation.md) - [Tencent Search LLM (腾讯搜索大模型)](https://genailist.net/model/tencent/tencent-search-llm.md) - [Tensor-Transformer(1core)+PN (PTB)](https://genailist.net/model/university-of-california-uc-berkeley/tensor-transformer-1core-pn-ptb.md) - [Tensor-Transformer(1core)+PN (WT103)](https://genailist.net/model/university-of-california-uc-berkeley/tensor-transformer-1core-pn-wt103.md) - [TensorReasoner](https://genailist.net/model/stanford-university/tensorreasoner.md) - [Tensorized Transformer (257M)](https://genailist.net/model/tianjin-university/tensorized-transformer-257m.md) - [Tensorized Transformer (OBW)](https://genailist.net/model/tianjin-university/tensorized-transformer-obw.md) - [Tensorized Transformer (PTB)](https://genailist.net/model/tianjin-university/tensorized-transformer-ptb.md) - [Tensorized Transformer (W103)](https://genailist.net/model/tianjin-university/tensorized-transformer-w103.md) - [Tensorized Transformer (large PTB)](https://genailist.net/model/tianjin-university/tensorized-transformer-large-ptb.md) - [TerraMind](https://genailist.net/model/ibm/terramind.md) - [Teuken 7B](https://genailist.net/model/opengpt-x/teuken-7b.md) - [Text2Protein](https://genailist.net/model/university-of-california-san-diego/text2protein.md) - [Textual Imager](https://genailist.net/model/stanford-university/textual-imager.md) - [The Attentive Reader](https://genailist.net/model/google-deepmind/the-attentive-reader.md) - [Thermostable protein design](https://genailist.net/model/indraprastha-institute-of-information-technology-delhi/thermostable-protein-design.md) - [Theseus](https://genailist.net/model/bell-laboratories/theseus.md) - [Theseus 6/768](https://genailist.net/model/university-of-california-san-diego/theseus-6-768.md) - [TiTok-L](https://genailist.net/model/bytedance/titok-l.md) - [Tiangong 3.0 (MoE)](https://genailist.net/model/kunlun-inc/tiangong-3-0-moe.md) - [Tiangong 4.0](https://genailist.net/model/kunlun-inc/tiangong-4-0.md) - [Tiangong SkyMusic](https://genailist.net/model/kunlun-inc/tiangong-skymusic.md) - [Tiangong SkyPaint](https://genailist.net/model/kunlun-inc/tiangong-skypaint.md) - [Tianhe Tianyuan](https://genailist.net/model/national-supercomputer-center-in-tianjin/tianhe-tianyuan.md) - [Tianxi-32B](https://genailist.net/model/lenovo/tianxi-32b.md) - [Tianxi-72B](https://genailist.net/model/lenovo/tianxi-72b.md) - [Tianxi-7B](https://genailist.net/model/lenovo/tianxi-7b.md) - [TigerBot-70B](https://genailist.net/model/tigerobo/tigerbot-70b.md) - [Time-delay neural networks](https://genailist.net/model/advanced-telecommunications-research-institute/time-delay-neural-networks.md) - [TimeGPT-1](https://genailist.net/model/nixtla/timegpt-1.md) - [Tiny Recursive Model (TRM-Att)](https://genailist.net/model/samsung-sait-ai-lab/tiny-recursive-model-trm-att.md) - [TinyBert](https://genailist.net/model/huazhong-university-of-science-and-technology/tinybert.md) - [TinyLlama-1.1B (1T token checkpoint)](https://genailist.net/model/singapore-university-of-technology-design/tinyllama-1-1b-1t-token-checkpoint.md) - [TinyLlama-1.1B (3T token checkpoint)](https://genailist.net/model/singapore-university-of-technology-design/tinyllama-1-1b-3t-token-checkpoint.md) - [Tk-Instruct](https://genailist.net/model/university-of-washington/tk-instruct.md) - [TokenFlow-XL](https://genailist.net/model/bytedance/tokenflow-xl.md) - [TokenFlow-t2i](https://genailist.net/model/bytedance/tokenflow-t2i.md) - [Tongyi DeepResearch](https://genailist.net/model/alibaba-nlp/tongyi-deepresearch.md) - [Tongyi Qianwen 2.0](https://genailist.net/model/alibaba-nlp/tongyi-qianwen-2-0.md) - [ToolFormer](https://genailist.net/model/meta-ai/toolformer.md) - [TrOCR](https://genailist.net/model/beihang-university/trocr.md) - [TranceptEve](https://genailist.net/model/university-of-oxford/trancepteve.md) - [Tranception](https://genailist.net/model/university-of-oxford/tranception.md) - [TransAct](https://genailist.net/model/pinterest/transact.md) - [TransE](https://genailist.net/model/universite-de-technologie-de-compi-gne-cnrs/transe.md) - [TransFew](https://genailist.net/model/university-of-missouri/transfew.md) - [TranscriptFormer](https://genailist.net/model/chan-zuckerberg-initiative/transcriptformer.md) - [Transfer Learning](https://genailist.net/model/university-of-zagreb/transfer-learning.md) - [TransfoRNN(d=1024)(2-layer) (PTB)](https://genailist.net/model/lenovo-research/transfornn-d-1024-2-layer-ptb.md) - [Transformer](https://genailist.net/model/google-research/transformer.md) - [Transformer (Adaptive Input Embeddings) WT103](https://genailist.net/model/facebook-ai-research/transformer-adaptive-input-embeddings-wt103.md) - [Transformer + Average Attention Network](https://genailist.net/model/university-of-electronic-science-and-technology-of-china/transformer-average-attention-network.md) - [Transformer + GFM](https://genailist.net/model/nanjing-university/transformer-gfm.md) - [Transformer + Simple Recurrent Unit](https://genailist.net/model/asapp/transformer-simple-recurrent-unit.md) - [Transformer - LibriVox + Decoding/Rescoring](https://genailist.net/model/facebook/transformer-librivox-decoding-rescoring.md) - [Transformer ELMo](https://genailist.net/model/allen-institute-for-ai/transformer-elmo.md) - [Transformer LM + MinSen](https://genailist.net/model/chinese-university-of-hong-kong-cuhk/transformer-lm-minsen.md) - [Transformer Large + HCP](https://genailist.net/model/university-of-waterloo/transformer-large-hcp.md) - [Transformer local-attention (NesT-B)](https://genailist.net/model/google-cloud/transformer-local-attention-nest-b.md) - [Transformer+Recurrent Windows of Context](https://genailist.net/model/toyota-technological-institute-at-chicago/transformer-recurrent-windows-of-context.md) - [Transformer-C](https://genailist.net/model/university-of-massachusetts-amherst/transformer-c.md) - [Transformer-XL (257M)](https://genailist.net/model/carnegie-mellon-university-cmu/transformer-xl-257m.md) - [Transformer-XL + AutoDropout (PTB)](https://genailist.net/model/google-research/transformer-xl-autodropout-ptb.md) - [Transformer-XL + PowerSGD + L-Greco](https://genailist.net/model/institute-of-science-and-technology-austria-ista/transformer-xl-powersgd-l-greco.md) - [Transformer-XL + RMS dynamic eval](https://genailist.net/model/university-of-edinburgh/transformer-xl-rms-dynamic-eval.md) - [Transformer-XL + RMT](https://genailist.net/model/moscow-institute-of-physics-and-technology/transformer-xl-rmt.md) - [Transformer-XL + SIS](https://genailist.net/model/inria/transformer-xl-sis.md) - [Transformer-XL DeFINE (107M)](https://genailist.net/model/university-of-washington/transformer-xl-define-107m.md) - [Transformer-XL DeFINE (141M)](https://genailist.net/model/university-of-washington/transformer-xl-define-141m.md) - [Transformer-XL Large + Phrase Induction](https://genailist.net/model/massachusetts-institute-of-technology-mit/transformer-xl-large-phrase-induction.md) - [Transformer-XL-ptb](https://genailist.net/model/carnegie-mellon-university-cmu/transformer-xl-ptb.md) - [TransformerXL + spectrum control](https://genailist.net/model/university-of-california-los-angeles-ucla/transformerxl-spectrum-control.md) - [TransformerXL-LayerFusion-CA](https://genailist.net/model/university-of-liverpool/transformerxl-layerfusion-ca.md) - [Transformers in music recommendation](https://genailist.net/model/google-research/transformers-in-music-recommendation.md) - [Translation-invariant MLP](https://genailist.net/model/carnegie-mellon-university-cmu/translation-invariant-mlp.md) - [TrellisNet](https://genailist.net/model/carnegie-mellon-university-cmu/trellisnet.md) - [TrellisNet-MoS (1.4x larger) PTB](https://genailist.net/model/carnegie-mellon-university-cmu/trellisnet-mos-1-4x-larger-ptb.md) - [Tri-21B](https://genailist.net/model/trillion-labs/tri-21b.md) - [TriNet](https://genailist.net/model/visual-computing-institute/trinet.md) - [Trillion-7B](https://genailist.net/model/trillion-labs/trillion-7b.md) - [Trinity-Large-Preview](https://genailist.net/model/arcee-ai/trinity-large-preview.md) - [Trinity-Large-Thinking](https://genailist.net/model/arcee-ai/trinity-large-thinking.md) - [TripletRes](https://genailist.net/model/university-of-michigan/tripletres.md) - [TripoSplat](https://genailist.net/model/vast-ai-research/triposplat.md) - [Truck backer-upper](https://genailist.net/model/stanford-university/truck-backer-upper.md) - [True-Regularization+Finetune+Dynamic-Eval](https://genailist.net/model/mobvoi/true-regularization-finetune-dynamic-eval.md) - [Tulu 3 (Tülu 3) 70B](https://genailist.net/model/allen-institute-for-ai/tulu-3-t-lu-3-70b.md) - [Tulu 3 (Tülu 3) 70B](https://genailist.net/model/unknown/tulu-3-t-lu-3-70b-1.md) - [Tulu 3 405B](https://genailist.net/model/allen-institute-for-ai/tulu-3-405b.md) - [Tulu 3 8B](https://genailist.net/model/allen-institute-for-ai/tulu-3-8b.md) - [Tulu V2 DPO 70B](https://genailist.net/model/allen-institute-for-ai/tulu-v2-dpo-70b.md) - [TurboVLA](https://genailist.net/model/hust/turbovla.md) - [Turing ULRv5](https://genailist.net/model/microsoft/turing-ulrv5.md) - [Turing-NLG](https://genailist.net/model/microsoft/turing-nlg.md) - [Two Stage Feature Extraction (MNIST)](https://genailist.net/model/new-york-university-nyu/two-stage-feature-extraction-mnist.md) - [Two-stream ConvNets for action recognition](https://genailist.net/model/university-of-oxford/two-stream-convnets-for-action-recognition.md) - [TxGNN](https://genailist.net/model/harvard-medical-school/txgnn.md) - [TxGemma 27B](https://genailist.net/model/google-deepmind/txgemma-27b.md) - [TxGemma 2B](https://genailist.net/model/google-deepmind/txgemma-2b.md) - [TxGemma 9B](https://genailist.net/model/google-deepmind/txgemma-9b.md) - [Typhoon 2 7B](https://genailist.net/model/typhoon-scb-10x/typhoon-2-7b.md) - [Typhoon 2.1 Gemma 12B](https://genailist.net/model/typhoon-scb-10x/typhoon-2-1-gemma-12b.md) - [Typhoon 2.1 Gemma 4B](https://genailist.net/model/typhoon-scb-10x/typhoon-2-1-gemma-4b.md) - [Typhoon2-Audio](https://genailist.net/model/typhoon-scb-10x/typhoon2-audio.md) - [Typhoon2-Vision](https://genailist.net/model/typhoon-scb-10x/typhoon2-vision.md) - [Typhoon2-Vision](https://genailist.net/model/typhoon-scb-10x/typhoon2-vision-1.md) - [U-Net](https://genailist.net/model/university-of-freiburg/u-net.md) - [U-Net GAN (FFHQ)](https://genailist.net/model/bosch-center-for-artificial-intelligence/u-net-gan-ffhq.md) - [U-PaLM (540B)](https://genailist.net/model/google/u-palm-540b.md) - [UDSMProt](https://genailist.net/model/fraunhofer-heinrich-hertz-institute/udsmprot.md) - [UI-TARS-1.5](https://genailist.net/model/bytedance/ui-tars-1-5.md) - [UL2](https://genailist.net/model/google-research/ul2.md) - [ULM-FiT](https://genailist.net/model/university-of-san-francisco/ulm-fit.md) - [UdanDTI](https://genailist.net/model/tsinghua-university/udandti.md) - [Uni-1.1](https://genailist.net/model/luma-ai/uni-1-1.md) - [Uni-Med](https://genailist.net/model/tsinghua-university/uni-med.md) - [Uni-Mol Molecular Model](https://genailist.net/model/renmin-university-of-china/uni-mol-molecular-model.md) - [Uni-RNA-L-24](https://genailist.net/model/dp-technology/uni-rna-l-24.md) - [Uni-RNA-L12](https://genailist.net/model/dp-technology/uni-rna-l12.md) - [Uni-RNA-L16](https://genailist.net/model/dp-technology/uni-rna-l16.md) - [Uni-RNA-L8](https://genailist.net/model/dp-technology/uni-rna-l8.md) - [UniDiffuser (多模态大模型)](https://genailist.net/model/shengshu/unidiffuser.md) - [UniGPT-mMed](https://genailist.net/model/unknown/unigpt-mmed.md) - [UniPi](https://genailist.net/model/google-deepmind/unipi.md) - [UniRep](https://genailist.net/model/harvard-university/unirep.md) - [Unichat-32B-c1](https://genailist.net/model/china-unicom/unichat-32b-c1.md) - [Unicorn](https://genailist.net/model/allen-institute-for-ai/unicorn.md) - [Unified-IO (XL)](https://genailist.net/model/allen-institute-for-ai/unified-io-xl.md) - [UnifiedQA](https://genailist.net/model/allen-institute-for-ai/unifiedqa.md) - [Universal approximation via Feedforward Networks](https://genailist.net/model/unknown/universal-approximation-via-feedforward-networks.md) - [Universal-1](https://genailist.net/model/assemblyai/universal-1.md) - [Universal-2-TF](https://genailist.net/model/assemblyai/universal-2-tf.md) - [Unsupervised High-level Feature Learner](https://genailist.net/model/google/unsupervised-high-level-feature-learner.md) - [V-JEPA](https://genailist.net/model/meta-ai/v-jepa.md) - [V-JEPA 2](https://genailist.net/model/facebook-ai-research/v-jepa-2.md) - [VALL-E](https://genailist.net/model/microsoft/vall-e.md) - [VALL-E X](https://genailist.net/model/microsoft/vall-e-x.md) - [VARCO LLM 2.0 base](https://genailist.net/model/ncsoft/varco-llm-2-0-base.md) - [VARCO LLM 2.0 small Finetuning](https://genailist.net/model/ncsoft/varco-llm-2-0-small-finetuning.md) - [VARCO LLM KO/EN-13B-IST ver.1](https://genailist.net/model/ncsoft/varco-llm-ko-en-13b-ist-ver-1.md) - [VASA-1](https://genailist.net/model/microsoft-research-asia/vasa-1.md) - [VD-LSTM+REAL Large](https://genailist.net/model/salesforce-research/vd-lstm-real-large.md) - [VD-LSTM+REAL Medium](https://genailist.net/model/stanford-university/vd-lstm-real-medium.md) - [VD-LSTM+REAL Small](https://genailist.net/model/stanford-university/vd-lstm-real-small.md) - [VD-RHN](https://genailist.net/model/eth-zurich/vd-rhn.md) - [VDCNN (on Amazon Review Full dataset)](https://genailist.net/model/facebook-ai-research/vdcnn-on-amazon-review-full-dataset.md) - [VGG-Face](https://genailist.net/model/university-of-oxford/vgg-face.md) - [VGG16](https://genailist.net/model/university-of-oxford/vgg16.md) - [VGG19](https://genailist.net/model/university-of-oxford/vgg19.md) - [VILA-13B](https://genailist.net/model/nvidia/vila-13b.md) - [VILA-7B](https://genailist.net/model/nvidia/vila-7b.md) - [VILA1.5-13B](https://genailist.net/model/nvidia/vila1-5-13b.md) - [VILA1.5-40B](https://genailist.net/model/nvidia/vila1-5-40b.md) - [VISTA-2D](https://genailist.net/model/nvidia/vista-2d.md) - [VLM-4](https://genailist.net/model/lighton/vlm-4.md) - [VQ-VAE](https://genailist.net/model/deepmind/vq-vae.md) - [VQ-VAE-2 (FFHQ)](https://genailist.net/model/google/vq-vae-2-ffhq.md) - [VQ-VAE-2 (ImageNet)](https://genailist.net/model/google/vq-vae-2-imagenet.md) - [VQGAN + CLIP](https://genailist.net/model/heidelberg-university/vqgan-clip.md) - [VRMBG 2.0](https://genailist.net/model/bria-ai/vrmbg-2-0.md) - [Variational (untied weights, MC) LSTM (Large)](https://genailist.net/model/university-of-cambridge/variational-untied-weights-mc-lstm-large.md) - [Variational Lossy Autoencoder (VLAE) MNIST](https://genailist.net/model/university-of-california-uc-berkeley/variational-lossy-autoencoder-vlae-mnist.md) - [Variational RHN + WT (PTB)](https://genailist.net/model/eth-zurich/variational-rhn-wt-ptb.md) - [Vector Space Model](https://genailist.net/model/stanford-university/vector-space-model.md) - [Vega v2](https://genailist.net/model/wuhan-university/vega-v2.md) - [Velvet 14B](https://genailist.net/model/almawave/velvet-14b.md) - [Velvet 25B](https://genailist.net/model/almawave/velvet-25b.md) - [Velvet 2B](https://genailist.net/model/almawave/velvet-2b.md) - [Velvet Speech 2B](https://genailist.net/model/almawave/velvet-speech-2b.md) - [Veo](https://genailist.net/model/google-deepmind/veo.md) - [Veo 2](https://genailist.net/model/google-deepmind/veo-2.md) - [Veo 3](https://genailist.net/model/google-deepmind/veo-3.md) - [Veo 3 Fast](https://genailist.net/model/google-deepmind/veo-3-fast.md) - [Veo 3.1](https://genailist.net/model/google-deepmind/veo-3-1.md) - [Verbatim Memory Transformer (108M)](https://genailist.net/model/johns-hopkins-university/verbatim-memory-transformer-108m.md) - [Verbatim Memory Transformer (117M)](https://genailist.net/model/johns-hopkins-university/verbatim-memory-transformer-117m.md) - [Very Deep VAEs (ImageNet-64)](https://genailist.net/model/openai/very-deep-vaes-imagenet-64.md) - [Vespa](https://genailist.net/model/technical-university-of-munich/vespa.md) - [VespaG](https://genailist.net/model/technical-university-of-munich/vespag.md) - [ViT + DINO](https://genailist.net/model/inria/vit-dino.md) - [ViT-22B](https://genailist.net/model/google/vit-22b.md) - [ViT-G (model soup)](https://genailist.net/model/university-of-washington/vit-g-model-soup.md) - [ViT-G/14](https://genailist.net/model/google-brain/vit-g-14.md) - [ViT-G/14 (LiT)](https://genailist.net/model/google-research/vit-g-14-lit.md) - [ViT-Huge/14](https://genailist.net/model/google-brain/vit-huge-14.md) - [Vicuna-13B v0](https://genailist.net/model/large-model-systems-organization/vicuna-13b-v0.md) - [Vicuna-13B-v1.3](https://genailist.net/model/large-model-systems-organization/vicuna-13b-v1-3.md) - [Vicuna-13B-v1.5](https://genailist.net/model/large-model-systems-organization/vicuna-13b-v1-5.md) - [Vicuna-33B-v1.3](https://genailist.net/model/large-model-systems-organization/vicuna-33b-v1-3.md) - [Vicuna-7B v0](https://genailist.net/model/large-model-systems-organization/vicuna-7b-v0.md) - [Vicuna-7B-v1.3](https://genailist.net/model/large-model-systems-organization/vicuna-7b-v1-3.md) - [Vicuna-7B-v1.5](https://genailist.net/model/large-model-systems-organization/vicuna-7b-v1-5.md) - [VideoCrafter2](https://genailist.net/model/tencent/videocrafter2.md) - [VideoMAE V2](https://genailist.net/model/nanjing-university/videomae-v2.md) - [VideoPoet](https://genailist.net/model/google-research/videopoet.md) - [Vidu](https://genailist.net/model/tsinghua-university/vidu.md) - [Vidu 1.5](https://genailist.net/model/shengshu/vidu-1-5.md) - [Vidu S1](https://genailist.net/model/shengshu-technology/vidu-s1.md) - [Viking](https://genailist.net/model/silo-ai/viking.md) - [Vine copula (breast cancer)](https://genailist.net/model/massachusetts-institute-of-technology-mit/vine-copula-breast-cancer.md) - [Vine copula (crime)](https://genailist.net/model/massachusetts-institute-of-technology-mit/vine-copula-crime.md) - [Vine copula (wine quality)](https://genailist.net/model/massachusetts-institute-of-technology-mit/vine-copula-wine-quality.md) - [Vision-based obstacle avoidance system (2005)](https://genailist.net/model/new-york-university-nyu/vision-based-obstacle-avoidance-system-2005.md) - [Visualizing CNNs](https://genailist.net/model/new-york-university-nyu/visualizing-cnns.md) - [Vitruvian-1](https://genailist.net/model/asc27/vitruvian-1.md) - [Voice Engine](https://genailist.net/model/openai/voice-engine.md) - [Voicebox / VB-En](https://genailist.net/model/facebook-ai-research/voicebox-vb-en.md) - [Voiseed Xpressive](https://genailist.net/model/voiseed/voiseed-xpressive.md) - [Volare](https://genailist.net/model/moxoff/volare.md) - [Volcano 13B](https://genailist.net/model/korea-university/volcano-13b.md) - [Voxtral Mini](https://genailist.net/model/mistral-ai/voxtral-mini.md) - [Voxtral Mini Transcribe](https://genailist.net/model/mistral-ai/voxtral-mini-transcribe.md) - [Voxtral Small](https://genailist.net/model/mistral-ai/voxtral-small.md) - [Voxtral TTS](https://genailist.net/model/mistral-ai/voxtral-tts.md) - [W.A.L.T](https://genailist.net/model/stanford-university/w-a-l-t.md) - [W2v-BERT](https://genailist.net/model/google-brain/w2v-bert.md) - [WD+LR+M](https://genailist.net/model/university-of-cambridge/wd-lr-m.md) - [WDC20 / DLWP](https://genailist.net/model/university-of-washington/wdc20-dlwp.md) - [WGAN (Wasserstein GAN)](https://genailist.net/model/facebook-ai-research/wgan-wasserstein-gan.md) - [WGAN-GP](https://genailist.net/model/courant-institute-of-mathematical-sciences/wgan-gp.md) - [Walking Minotaur robot](https://genailist.net/model/university-of-california-uc-berkeley/walking-minotaur-robot.md) - [Wan 2.1 14B I2V](https://genailist.net/model/wan-ai/wan-2-1-14b-i2v.md) - [Wan 2.2 14B I2V](https://genailist.net/model/wan-ai/wan-2-2-14b-i2v.md) - [Wan 2.2 14B S2V](https://genailist.net/model/wan-ai/wan-2-2-14b-s2v.md) - [Wan 2.2 14B T2V](https://genailist.net/model/wan-ai/wan-2-2-14b-t2v.md) - [Wan 2.5](https://genailist.net/model/wan-ai/wan-2-5.md) - [Wan Dancer 14B](https://genailist.net/model/wan-ai/wan-dancer-14b.md) - [WaveNet](https://genailist.net/model/google-deepmind/wavenet.md) - [We employ various filters for data filtering and progressively increase their thresholds to build 4 training datasets, i.e., 256p, 360p, 540p, and 720p, while the final SFT dataset is built through manual annotation.](https://genailist.net/model/unknown/we-employ-various-filters-for-data-filtering-and-progressively-increase-their-thresholds-to-build-4-training-datasets-i-e-256p-360p-540p-and-720p-while-the-final-sft-dataset-is-built-through-manual-annotation.md) - [WeLM](https://genailist.net/model/wechat-ai/welm.md) - [WeNet (PTB)](https://genailist.net/model/amazon/wenet-ptb.md) - [WeNet (Penn Treebank)](https://genailist.net/model/amazon/wenet-penn-treebank.md) - [Web mining + Decision tree recommender](https://genailist.net/model/korea-advanced-institute-of-science-and-technology-kaist/web-mining-decision-tree-recommender.md) - [WebGPT](https://genailist.net/model/openai/webgpt.md) - [Weblab-10B](https://genailist.net/model/matsuo-lab/weblab-10b.md) - [Weight Decay](https://genailist.net/model/unknown/weight-decay.md) - [WeituAI 1.0](https://genailist.net/model/weitu-ai/weituai-1-0.md) - [West Lake (“Xīhú / 西湖大模型”)](https://genailist.net/model/west-lake-xinchen-xinchen-ai/west-lake-x-h.md) - [Whale Bioacoustics Model](https://genailist.net/model/google-research/whale-bioacoustics-model.md) - [Whisper](https://genailist.net/model/openai/whisper.md) - [Whisper v2](https://genailist.net/model/openai/whisper-v2.md) - [Whisper v3](https://genailist.net/model/openai/whisper-v3.md) - [Wholembed v3](https://genailist.net/model/mixedbread/wholembed-v3.md) - [Wide & Deep](https://genailist.net/model/google/wide-deep.md) - [Wide Residual Network](https://genailist.net/model/universit-paris-est/wide-residual-network.md) - [WizardCoder-15.5B](https://genailist.net/model/microsoft/wizardcoder-15-5b.md) - [WizardLM 13B v1.2](https://genailist.net/model/microsoft/wizardlm-13b-v1-2.md) - [WizardLM 70B](https://genailist.net/model/microsoft/wizardlm-70b.md) - [WizardLM-2 70B](https://genailist.net/model/microsoft/wizardlm-2-70b.md) - [WizardLM-2 7B](https://genailist.net/model/microsoft/wizardlm-2-7b.md) - [WizardLM-2 8x22B](https://genailist.net/model/microsoft/wizardlm-2-8x22b.md) - [WizardLM-7B](https://genailist.net/model/microsoft/wizardlm-7b.md) - [Wonder 3](https://genailist.net/model/topaz-labs/wonder-3.md) - [Word2Vec (large)](https://genailist.net/model/google/word2vec-large.md) - [Wu Dao - Wen Hui](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/wu-dao-wen-hui.md) - [Wu Dao - Wen Lan](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/wu-dao-wen-lan.md) - [Wu Dao - Wen Su](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/wu-dao-wen-su.md) - [Wu Dao - Wen Yuan](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/wu-dao-wen-yuan.md) - [Wu Dao 2.0](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/wu-dao-2-0.md) - [Wu Dao Aquila-33B](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/wu-dao-aquila-33b.md) - [Wu Dao Aquila-7B](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/wu-dao-aquila-7b.md) - [Wuerstchen](https://genailist.net/model/technische-hochschule-ingolstadt/wuerstchen.md) - [Wutong](https://genailist.net/model/unknown/wutong.md) - [Wutong 2.0](https://genailist.net/model/unknown/wutong-2-0.md) - [X-Portrait](https://genailist.net/model/bytedance/x-portrait.md) - [XGLM](https://genailist.net/model/meta-ai/xglm.md) - [XGLM-7.5B](https://genailist.net/model/meta-ai/xglm-7-5b.md) - [XGPT](https://genailist.net/model/unknown/xgpt.md) - [XGen-7B](https://genailist.net/model/salesforce/xgen-7b.md) - [XLM-RoBERTa](https://genailist.net/model/facebook-ai/xlm-roberta.md) - [XLMR-XXL](https://genailist.net/model/facebook-ai-research/xlmr-xxl.md) - [XLNet](https://genailist.net/model/carnegie-mellon-university-cmu/xlnet.md) - [XMC-GAN](https://genailist.net/model/google-research/xmc-gan.md) - [XPT “Xiao Model” (晓模型XPT)](https://genailist.net/model/chengdu-xiaoduo-technology-co/xpt-xiao-model-xpt.md) - [XVERSE-13B-2](https://genailist.net/model/xverse-technology/xverse-13b-2.md) - [XVERSE-65B-2](https://genailist.net/model/xverse-technology/xverse-65b-2.md) - [XVERSE-MoE-A4.2B](https://genailist.net/model/xverse-technology/xverse-moe-a4-2b.md) - [XY-LENTXL](https://genailist.net/model/microsoft/xy-lentxl.md) - [Xception](https://genailist.net/model/google/xception.md) - [XiaoAI 6.0](https://genailist.net/model/xiaomi-corp/xiaoai-6-0.md) - [Xiaoice](https://genailist.net/model/microsoft-research-asia/xiaoice.md) - [Xiaomi Edge-side Text (小米端侧文本)](https://genailist.net/model/xiaomi-corp/xiaomi-edge-side-text.md) - [Xiaomi Pengpai Image (小米澎湃图像)](https://genailist.net/model/xiaomi-corp/xiaomi-pengpai-image.md) - [Xiaoyu Q&A](https://genailist.net/model/xiaoyu-intelligence-information-technology-yunnan-co/xiaoyu-q-a.md) - [Xinchen Lingo](https://genailist.net/model/west-lake-xinchen-xinchen-ai/xinchen-lingo.md) - [Xingchen Jianwei Security Model (星辰·见微安全大 模型)](https://genailist.net/model/china-telecom/xingchen-jianwei-security-model.md) - [Xingchen Multimodal Model (中电信人工智能科技（北京）有限公司)](https://genailist.net/model/china-telecom/xingchen-multimodal-model.md) - [Xingchen Voice Model (星辰语音大模型)](https://genailist.net/model/china-telecom/xingchen-voice-model.md) - [Xinghai (星海)](https://genailist.net/model/hisense/xinghai.md) - [Xinghan Foundation Model](https://genailist.net/model/dahua-technology/xinghan-foundation-model.md) - [Xingrui AI (星睿AI)](https://genailist.net/model/geely-automobile-research-institute-ningbo-company/xingrui-ai-ai.md) - [Xinyi Video 1.0](https://genailist.net/model/unknown/xinyi-video-1-0.md) - [Xinyi Video 2.0](https://genailist.net/model/unknown/xinyi-video-2-0.md) - [Xinyu](https://genailist.net/model/zhejiang-university-zju/xinyu.md) - [Xinyuan (心元大模型)](https://genailist.net/model/beijing-lituo-feiyuan-technology-co/xinyuan.md) - [XuanYuan 2.0](https://genailist.net/model/du-xiaoman/xuanyuan-2-0.md) - [Xuanji Yuheng (璇玑玉衡)](https://genailist.net/model/zhuoshi-technology/xuanji-yuheng.md) - [Xunguang](https://genailist.net/model/alibaba-damo-academy/xunguang.md) - [Xunguang](https://genailist.net/model/unknown/xunguang-1.md) - [YAYI-13B-Llama2](https://genailist.net/model/yayi-wenge/yayi-13b-llama2.md) - [YAYI-7B-Llama2](https://genailist.net/model/yayi-wenge/yayi-7b-llama2.md) - [YAYI-Ultra](https://genailist.net/model/yayi-wenge/yayi-ultra.md) - [YOLOX-X](https://genailist.net/model/megvii-inc/yolox-x.md) - [YOLOv10-X](https://genailist.net/model/tsinghua-university/yolov10-x.md) - [YOLOv11](https://genailist.net/model/huddersfield-university/yolov11.md) - [YOLOv3](https://genailist.net/model/university-of-washington/yolov3.md) - [YOLOv8 (reCAPTCHA fine-tuned)](https://genailist.net/model/eth-zurich/yolov8-recaptcha-fine-tuned.md) - [YOLOv8x](https://genailist.net/model/ultralytics/yolov8x.md) - [YOLOv9-E](https://genailist.net/model/academia-sinica/yolov9-e.md) - [YaART](https://genailist.net/model/yandex/yaart.md) - [YaLM](https://genailist.net/model/yandex/yalm.md) - [YaRN (Llama 2 13B)](https://genailist.net/model/nous-research/yarn-llama-2-13b.md) - [YaRN (Llama 2 70B)](https://genailist.net/model/nous-research/yarn-llama-2-70b.md) - [YaYi 2.0](https://genailist.net/model/yayi-wenge/yayi-2-0.md) - [YaYi-7B](https://genailist.net/model/yayi-wenge/yayi-7b.md) - [Yan](https://genailist.net/model/rock-ai-shanghai-stonehill-technology/yan.md) - [YandexGPT 3](https://genailist.net/model/yandex/yandexgpt-3.md) - [YandexGPT 4 Lite](https://genailist.net/model/yandex/yandexgpt-4-lite.md) - [YandexGPT 4 Pro](https://genailist.net/model/yandex/yandexgpt-4-pro.md) - [YandexGPT 5 Lite](https://genailist.net/model/yandex/yandexgpt-5-lite.md) - [YandexGPT 5 Pro](https://genailist.net/model/yandex/yandexgpt-5-pro.md) - [YandexGPT 5.1 Pro](https://genailist.net/model/yandex/yandexgpt-5-1-pro.md) - [Yi 6B](https://genailist.net/model/01-ai/yi-6b.md) - [Yi Vision](https://genailist.net/model/01-ai/yi-vision.md) - [Yi-1.5-34B](https://genailist.net/model/01-ai/yi-1-5-34b.md) - [Yi-1.5-9B](https://genailist.net/model/01-ai/yi-1-5-9b.md) - [Yi-34B](https://genailist.net/model/01-ai/yi-34b.md) - [Yi-Large](https://genailist.net/model/01-ai/yi-large.md) - [Yi-Lightning](https://genailist.net/model/01-ai/yi-lightning.md) - [Yi-VL-34B](https://genailist.net/model/01-ai/yi-vl-34b.md) - [YiSu](https://genailist.net/model/unknown/yisu.md) - [YiYuan (壹元大模型)](https://genailist.net/model/soundai/yiyuan.md) - [Yiye Qingzhou](https://genailist.net/model/effyic/yiye-qingzhou.md) - [Yiye Qingzhou-0.7B](https://genailist.net/model/effyic/yiye-qingzhou-0-7b.md) - [Yiye Qingzhou-45B](https://genailist.net/model/effyic/yiye-qingzhou-45b.md) - [Youtube recommendation model](https://genailist.net/model/google/youtube-recommendation-model.md) - [Youyuanjian (邮远见)](https://genailist.net/model/china-post-consumer-finance-co/youyuanjian.md) - [YuE](https://genailist.net/model/hong-kong-university-of-science-and-technology-hkust/yue.md) - [YuLan-Chat-2 (13B)](https://genailist.net/model/renmin-university-of-china/yulan-chat-2-13b.md) - [YuYan 11B](https://genailist.net/model/hong-kong-baptist-university/yuyan-11b.md) - [Yuan 1.0](https://genailist.net/model/inspur/yuan-1-0.md) - [Yuan 2.0](https://genailist.net/model/inspur/yuan-2-0.md) - [Yuanjing LLM (联通元景大模型)](https://genailist.net/model/china-unicom/yuanjing-llm.md) - [Yuanshi (元石大模型)](https://genailist.net/model/beijing-yuanshi-technology-co/yuanshi.md) - [Yue AI](https://genailist.net/model/unknown/yue-ai.md) - [Yuel 2](https://genailist.net/model/pennsylvania-state-university/yuel-2.md) - [Zagreus 0.4B](https://genailist.net/model/mii-llm/zagreus-04b.md) - [Zamba2-7B](https://genailist.net/model/zyphra/zamba2-7b.md) - [Zefiro](https://genailist.net/model/mii-llm/zefiro.md) - [Zephyr 141B-A39B](https://genailist.net/model/hugging-face/zephyr-141b-a39b-1.md) - [Zephyr 141B-A39B](https://genailist.net/model/hugging-face/zephyr-141b-a39b.md) - [Zephyr 7B](https://genailist.net/model/hugging-face/zephyr-7b.md) - [Zero-shot Monocular Scene Flow (ZeroMSF)](https://genailist.net/model/nvidia/zero-shot-monocular-scene-flow-zeromsf.md) - [Zhaoyan (兆言大语言模型)](https://genailist.net/model/shanghai-jiao-tong-university/zhaoyan.md) - [ZhihaiTu AI (知海图)](https://genailist.net/model/beijing-zhizhe-tianxia-technology/zhihaitu-ai.md) - [Zhiwei (知微大模型)](https://genailist.net/model/beijing-weimeng-chuangke-network-technology/zhiwei.md) - [Zhixiang 3.0 (智象)](https://genailist.net/model/hidream/zhixiang-3-0.md) - [Zhiyan (智言)](https://genailist.net/model/4paradigm/zhiyan.md) - [Zhiye LLM (浪潮知业大模型)](https://genailist.net/model/inspur/zhiye-llm.md) - [Zhiyun Culture LLM (智云文化大模型)](https://genailist.net/model/xinhua-zhiyun-technology-co/zhiyun-culture-llm.md) - [Zhiyun Culture LLM (智云文化大模型)](https://genailist.net/model/unknown/zhiyun-culture-llm-1.md) - [Zhizhe Qianwen (智者千问大语言模型)](https://genailist.net/model/beijing-zhijing-yunchuang-technology-co/zhizhe-qianwen.md) - [Zhuhai-13B](https://genailist.net/model/zhujian-intelligence/zhuhai-13b.md) - [Zi Yue](https://genailist.net/model/netease/zi-yue.md) - [Zi Yue 2.0](https://genailist.net/model/netease/zi-yue-2-0.md) - [Zidong Taichu](https://genailist.net/model/chinese-academy-of-sciences/zidong-taichu.md) - [Zip CNN](https://genailist.net/model/at-t/zip-cnn.md) - [Zoneout + Variational LSTM (PTB)](https://genailist.net/model/metamind-inc/zoneout-variational-lstm-ptb.md) - [Zoneout + Variational LSTM (WT2)](https://genailist.net/model/metamind-inc/zoneout-variational-lstm-wt2.md) - [Zonos-v0.1](https://genailist.net/model/zyphra/zonos-v0-1.md) - [ZymCTRL](https://genailist.net/model/basecamp-research/zymctrl.md) - [aLSTM(depth-2)+RecurrentPolicy (PTB)](https://genailist.net/model/university-of-manchester/alstm-depth-2-recurrentpolicy-ptb.md) - [aLSTM(depth-2)+RecurrentPolicy (WT2)](https://genailist.net/model/university-of-manchester/alstm-depth-2-recurrentpolicy-wt2.md) - [abab6.5](https://genailist.net/model/minimax/abab6-5.md) - [abab7](https://genailist.net/model/minimax/abab7.md) - [aiXcoder-7B Base](https://genailist.net/model/peking-university/aixcoder-7b-base.md) - [airoboros-l2-70b-2.1](https://genailist.net/model/unknown/airoboros-l2-70b-2-1.md) - [bRSM + cache](https://genailist.net/model/numenta/brsm-cache.md) - [babbage-002](https://genailist.net/model/openai/babbage-002.md) - [bailing-pro-1120](https://genailist.net/model/ant-group/bailing-pro-1120.md) - [base LM+GNN (WT103)](https://genailist.net/model/shannon-ai/base-lm-gnn-wt103.md) - [base LM+GNN+kNN](https://genailist.net/model/shannon-ai/base-lm-gnn-knn.md) - [bge-reranker-large](https://genailist.net/model/beijing-academy-of-artificial-intelligence-baai/bge-reranker-large.md) - [bilingual-gpt-neox-4b](https://genailist.net/model/rinna/bilingual-gpt-neox-4b.md) - [bpRNA-align](https://genailist.net/model/oregon-state-university/bprna-align.md) - [code2seq](https://genailist.net/model/technion-israel-institute-of-technology/code2seq.md) - [code2vec](https://genailist.net/model/technion-israel-institute-of-technology/code2vec.md) - [codex-1](https://genailist.net/model/openai/codex-1.md) - [codex-mini](https://genailist.net/model/openai/codex-mini.md) - [data2vec (language)](https://genailist.net/model/meta-ai/data2vec-language.md) - [dnaGrinder](https://genailist.net/model/hong-kong-polytechnic-university/dnagrinder.md) - [dots.llm1](https://genailist.net/model/rednote/dots-llm1.md) - [eDiff-I](https://genailist.net/model/nvidia/ediff-i.md) - [eFold](https://genailist.net/model/harvard-medical-school/efold.md) - [ether0](https://genailist.net/model/futurehouse/ether0.md) - [fastText](https://genailist.net/model/facebook-ai-research/fasttext.md) - [gLM](https://genailist.net/model/harvard-university/glm.md) - [gemini-2.0-flash-lite](https://genailist.net/model/google-deepmind/gemini-2-0-flash-lite.md) - [gemini-2.5-flash](https://genailist.net/model/google-deepmind/gemini-2-5-flash.md) - [gemini-2.5-flash-image](https://genailist.net/model/google-deepmind/gemini-2-5-flash-image.md) - [gemini-2.5-flash-lite](https://genailist.net/model/google-deepmind/gemini-2-5-flash-lite.md) - [gemini-2.5-pro](https://genailist.net/model/google-deepmind/gemini-2-5-pro.md) - [gemini-3-flash-preview](https://genailist.net/model/google-deepmind/gemini-3-flash-preview.md) - [gemini-3-pro-image-preview](https://genailist.net/model/google-deepmind/gemini-3-pro-image-preview.md) - [gemini-3-pro-preview](https://genailist.net/model/google-deepmind/gemini-3-pro-preview.md) - [genCNN + dyn eval](https://genailist.net/model/chinese-academy-of-sciences/gencnn-dyn-eval.md) - [gpt-image-1](https://genailist.net/model/openai/gpt-image-1.md) - [gpt-oss-120b](https://genailist.net/model/openai/gpt-oss-120b.md) - [gpt-oss-20b](https://genailist.net/model/openai/gpt-oss-20b.md) - [gpt-realtime](https://genailist.net/model/openai/gpt-realtime.md) - [gpt-sw3-40b](https://genailist.net/model/ai-sweden/gpt-sw3-40b.md) - [granite-embedding-97m-multilingual-r2](https://genailist.net/model/ibm/granite-embedding-97m-multilingual-r2.md) - [gte-modernbert](https://genailist.net/model/alibaba/gte-modernbert.md) - [iCCCP](https://genailist.net/model/massachusetts-institute-of-technology-mit/icccp.md) - [iGPT-L](https://genailist.net/model/openai/igpt-l.md) - [iGPT-XL](https://genailist.net/model/openai/igpt-xl.md) - [imagen 4 fast](https://genailist.net/model/google-deepmind/imagen-4-fast.md) - [imagen 4 fast](https://genailist.net/model/google/imagen-4-fast.md) - [improved U-Net for chest X-ray images segmentation](https://genailist.net/model/henan-university-of-technology/improved-u-net-for-chest-x-ray-images-segmentation.md) - [jina-embeddings-v5-omni](https://genailist.net/model/jina-ai/jina-embeddings-v5-omni.md) - [jina-embeddings-v5-text-nano](https://genailist.net/model/jina-ai/jina-embeddings-v5-text-nano.md) - [jina-embeddings-v5-text-small](https://genailist.net/model/jina-ai/jina-embeddings-v5-text-small.md) - [k0-math](https://genailist.net/model/moonshot/k0-math.md) - [life2vec](https://genailist.net/model/technical-university-of-denmark/life2vec.md) - [llama-3-airoboros-70b-3.3](https://genailist.net/model/unknown/llama-3-airoboros-70b-3-3.md) - [mBART-50](https://genailist.net/model/facebook-ai/mbart-50.md) - [mPLUG-Owl2](https://genailist.net/model/alibaba/mplug-owl2.md) - [mT0-13B](https://genailist.net/model/hugging-face/mt0-13b.md) - [mT5-XXL](https://genailist.net/model/google/mt5-xxl.md) - [mathstral](https://genailist.net/model/unknown/mathstral-1.md) - [minChatGPT](https://genailist.net/model/stanford-university/minchatgpt.md) - [mini-GPT-2+Active-AdamW](https://genailist.net/model/hec-montreal/mini-gpt-2-active-adamw.md) - [mxbai-rerank-v3-listwise](https://genailist.net/model/mixedbread/mxbai-rerank-v3-listwise.md) - [n-gram LM](https://genailist.net/model/university-of-cambridge/n-gram-lm.md) - [nekomata-14b](https://genailist.net/model/rinna/nekomata-14b.md) - [nesso 0.4B Agentic](https://genailist.net/model/mii-llm/nesso-04b-agentic.md) - [nesso 0.4B Instruct](https://genailist.net/model/mii-llm/nesso-04b-instruct.md) - [nesso 4B](https://genailist.net/model/mii-llm/nesso-4b.md) - [node2vec](https://genailist.net/model/stanford-university/node2vec.md) - [o1](https://genailist.net/model/openai/o1.md) - [o1-mini](https://genailist.net/model/openai/o1-mini.md) - [o1-preview](https://genailist.net/model/openai/o1-preview.md) - [o3](https://genailist.net/model/openai/o3.md) - [o3 Operator](https://genailist.net/model/openai/o3-operator.md) - [o3-mini](https://genailist.net/model/openai/o3-mini.md) - [o3-pro](https://genailist.net/model/openai/o3-pro.md) - [o4-mini](https://genailist.net/model/openai/o4-mini.md) - [openPangu 2.0 Pro](https://genailist.net/model/huawei/openpangu-2-0-pro.md) - [pKALM](https://genailist.net/model/hokkaido-university/pkalm.md) - [phi-3-medium 14B](https://genailist.net/model/microsoft/phi-3-medium-14b.md) - [phi-3-mini 3.8B](https://genailist.net/model/microsoft/phi-3-mini-3-8b.md) - [phi-3-small 7.4B](https://genailist.net/model/microsoft/phi-3-small-7-4b.md) - [phi-3.5-Vision](https://genailist.net/model/microsoft/phi-3-5-vision.md) - [phi-3.5-mini](https://genailist.net/model/microsoft/phi-3-5-mini.md) - [rStar-Math (Qwen2-Math-7B base)](https://genailist.net/model/qwen/rstar-math-qwen2-math-7b-base.md) - [rStar-Math (Qwen2-Math-7B base)](https://genailist.net/model/microsoft-research-asia/rstar-math-qwen2-math-7b-base.md) - [rStar-Math (Qwen2.5-Math-7B base)](https://genailist.net/model/qwen/rstar-math-qwen2-5-math-7b-base.md) - [rStar-Math (Qwen2.5-Math-7B base)](https://genailist.net/model/microsoft-research-asia/rstar-math-qwen2-5-math-7b-base.md) - [rTop-k(distributed setting)](https://genailist.net/model/stanford-university/rtop-k-distributed-setting.md) - [ruDalle: Kandinsky 3.0](https://genailist.net/model/sber/rudalle-kandinsky-3-0.md) - [ruDalle: Kandinsky 3.1](https://genailist.net/model/sber/rudalle-kandinsky-3-1.md) - [ruGPT-3.5 13B](https://genailist.net/model/sber/rugpt-3-5-13b.md) - [s1](https://genailist.net/model/stanford-university/s1.md) - [s1-32B](https://genailist.net/model/stanford-university/s1-32b.md) - [s1.1](https://genailist.net/model/stanford-university/s1-1.md) - [scFormer](https://genailist.net/model/university-of-toronto/scformer.md) - [scHyena](https://genailist.net/model/korea-advanced-institute-of-science-and-technology-kaist/schyena.md) - [sgRNAGen](https://genailist.net/model/beijing-institute-of-technology/sgrnagen.md) - [stFormer](https://genailist.net/model/shanghai-jiao-tong-university/stformer.md) - [text-embedding-3-large](https://genailist.net/model/openai/text-embedding-3-large.md) - [text-embedding-3-small](https://genailist.net/model/openai/text-embedding-3-small.md) - [text-embedding-ada-002](https://genailist.net/model/openai/text-embedding-ada-002.md) - [top-down frozen classifier](https://genailist.net/model/university-of-edinburgh/top-down-frozen-classifier.md) - [trRosetta](https://genailist.net/model/nankai-university/trrosetta.md) - [tsuzumi 7B](https://genailist.net/model/ntt-communication-science-laboratories/tsuzumi-7b.md) - [tsuzumi 7B upgrade 2024](https://genailist.net/model/ntt-communication-science-laboratories/tsuzumi-7b-upgrade-2024.md) - [tts-1](https://genailist.net/model/openai/tts-1.md) - [tts-1-hd](https://genailist.net/model/openai/tts-1-hd.md) - [vScreenML 2.0](https://genailist.net/model/fox-chase-cancer-center/vscreenml-2-0.md) - [voyage-3-large](https://genailist.net/model/voyage-ai/voyage-3-large.md) - [voyage-3.5](https://genailist.net/model/voyage-ai/voyage-3-5.md) - [voyage-4](https://genailist.net/model/voyage-ai/voyage-4.md) - [voyage-4-large](https://genailist.net/model/voyage-ai/voyage-4-large.md) - [voyage-4-lite](https://genailist.net/model/voyage-ai/voyage-4-lite.md) - [voyage-4-nano](https://genailist.net/model/voyage-ai/voyage-4-nano.md) - [voyage-code-2](https://genailist.net/model/voyage-ai/voyage-code-2.md) - [voyage-code-3](https://genailist.net/model/voyage-ai/voyage-code-3.md) - [voyage-multimodal-3.5](https://genailist.net/model/voyage-ai/voyage-multimodal-3-5.md) - [wave2vec 2.0 LARGE](https://genailist.net/model/facebook/wave2vec-2-0-large.md) - [xGen-MM (BLIP-3)](https://genailist.net/model/salesforce-research/xgen-mm-blip-3.md) - [xLAM-8x22B](https://genailist.net/model/salesforce/xlam-8x22b.md) - [xLSTM 1.4B](https://genailist.net/model/johannes-kepler-university-linz/xlstm-1-4b.md) - [xTrimoPGLM - 1B](https://genailist.net/model/unknown/xtrimopglm-1b.md) - [xTrimoPGLM -100B](https://genailist.net/model/tsinghua-university/xtrimopglm-100b.md) - [µFormer](https://genailist.net/model/microsoft-research-ai-for-science/former.md) - [π0 (pi-zero)](https://genailist.net/model/physical-intelligence/0-pi-zero.md) - [π0.5 (pi-0.5)](https://genailist.net/model/physical-intelligence/0-5-pi-0-5.md) ## Benchmarks (134) - [AGIEval](https://genailist.net/benchmark/agieval.md) - [AIME 2024](https://genailist.net/benchmark/aime-2024.md) - [AIME 2025](https://genailist.net/benchmark/aime-2025.md) - [AIME 2026](https://genailist.net/benchmark/aime-2026.md) - [ARC-AGI-1](https://genailist.net/benchmark/arc-agi-1.md) - [ARC-AGI-2](https://genailist.net/benchmark/arc-agi-2.md) - [ARC-AGI-2 (Private)](https://genailist.net/benchmark/arc-agi-2-private.md) - [ARC-Challenge](https://genailist.net/benchmark/arc-challenge.md) - [ARC-Easy](https://genailist.net/benchmark/arc-easy.md) - [Aider Benchmark](https://genailist.net/benchmark/aider.md) - [Aider Polyglot](https://genailist.net/benchmark/aider-polyglot.md) - [AlignBench v1.1](https://genailist.net/benchmark/alignbench-v1-1.md) - [AlpacaEval 2](https://genailist.net/benchmark/alpacaeval-2.md) - [ArenaHard](https://genailist.net/benchmark/arenahard.md) - [ArenaHard v2](https://genailist.net/benchmark/arenahard-v2.md) - [AutoLogi](https://genailist.net/benchmark/autologi.md) - [BBEH](https://genailist.net/benchmark/bbeh.md) - [BFCL v3](https://genailist.net/benchmark/bfcl-v3.md) - [BFCL v4](https://genailist.net/benchmark/bfcl-v4.md) - [BIG-Bench Hard](https://genailist.net/benchmark/bbh.md) - [BigCodeBench](https://genailist.net/benchmark/bigcodebench.md) - [BrowseComp](https://genailist.net/benchmark/browsecomp.md) - [BrowseComp-Zh](https://genailist.net/benchmark/browsecomp-zh.md) - [C-Eval](https://genailist.net/benchmark/c-eval.md) - [C-SimpleQA](https://genailist.net/benchmark/c-simpleqa.md) - [C3](https://genailist.net/benchmark/c3.md) - [CCPM](https://genailist.net/benchmark/ccpm.md) - [CLUEWSC](https://genailist.net/benchmark/cluewsc.md) - [CMMLU](https://genailist.net/benchmark/cmmlu.md) - [CMRC](https://genailist.net/benchmark/cmrc.md) - [CMath](https://genailist.net/benchmark/cmath.md) - [CNMO 2024](https://genailist.net/benchmark/cnmo-2024.md) - [CRUXEval](https://genailist.net/benchmark/cruxeval.md) - [CWE-Bench-Java](https://genailist.net/benchmark/cwe-bench-java.md) - [ChartQA](https://genailist.net/benchmark/chartqa.md) - [Codeforces Elo](https://genailist.net/benchmark/codeforces-elo.md) - [Creative Writing v3](https://genailist.net/benchmark/creative-writing-v3.md) - [CyberGym](https://genailist.net/benchmark/cybergym.md) - [DROP](https://genailist.net/benchmark/drop.md) - [DocVQA](https://genailist.net/benchmark/docvqa.md) - [EvalPlus](https://genailist.net/benchmark/evalplus.md) - [FinSearchComp-T3](https://genailist.net/benchmark/finsearchcomp-t3.md) - [FinanceReasoning](https://genailist.net/benchmark/financereasoning.md) - [Frames](https://genailist.net/benchmark/frames.md) - [FullStackBench](https://genailist.net/benchmark/fullstackbench.md) - [GAIA](https://genailist.net/benchmark/gaia.md) - [GPQA Diamond](https://genailist.net/benchmark/gpqa-diamond.md) - [GSM8K](https://genailist.net/benchmark/gsm8k.md) - [HELMET](https://genailist.net/benchmark/helmet.md) - [HMMT 2025 (combined)](https://genailist.net/benchmark/hmmt-2025.md) - [HMMT February 2025](https://genailist.net/benchmark/hmmt-feb-2025.md) - [HMMT November 2025](https://genailist.net/benchmark/hmmt-nov-2025.md) - [HealthBench](https://genailist.net/benchmark/healthbench.md) - [HealthBench Hard](https://genailist.net/benchmark/healthbench-hard.md) - [HellaSwag](https://genailist.net/benchmark/hellaswag.md) - [HumanEval](https://genailist.net/benchmark/humaneval.md) - [HumanEval+](https://genailist.net/benchmark/humaneval-plus.md) - [Humanity's Last Exam](https://genailist.net/benchmark/humanitys-last-exam.md) - [IFEval](https://genailist.net/benchmark/ifeval.md) - [IMOAnswerBench](https://genailist.net/benchmark/imo-answerbench.md) - [INCLUDE](https://genailist.net/benchmark/include-bench.md) - [LIBERO](https://genailist.net/benchmark/libero.md) - [LiveBench](https://genailist.net/benchmark/livebench.md) - [LiveCodeBench](https://genailist.net/benchmark/livecodebench.md) - [LiveCodeBench v5](https://genailist.net/benchmark/livecodebench-v5.md) - [LiveCodeBench v6](https://genailist.net/benchmark/livecodebench-v6.md) - [LongBench v1](https://genailist.net/benchmark/longbench-v1.md) - [LongBench v2](https://genailist.net/benchmark/longbench-v2.md) - [Longform Writing](https://genailist.net/benchmark/longform-writing.md) - [MATH](https://genailist.net/benchmark/math-benchmark.md) - [MATH-500](https://genailist.net/benchmark/math-500.md) - [MBPP](https://genailist.net/benchmark/mbpp.md) - [MBPP+](https://genailist.net/benchmark/mbpp-plus.md) - [MCP Atlas](https://genailist.net/benchmark/mcp-atlas.md) - [MCP-Mark](https://genailist.net/benchmark/mcp-mark.md) - [MCP-Universe](https://genailist.net/benchmark/mcp-universe.md) - [MGSM](https://genailist.net/benchmark/mgsm.md) - [MLogiQA](https://genailist.net/benchmark/mlogiqa.md) - [MMLU](https://genailist.net/benchmark/mmlu.md) - [MMLU-Pro](https://genailist.net/benchmark/mmlu-pro.md) - [MMLU-Redux](https://genailist.net/benchmark/mmlu-redux.md) - [MMMLU](https://genailist.net/benchmark/mmmlu.md) - [MMMU](https://genailist.net/benchmark/mmmu.md) - [MMMU-Pro (Standard)](https://genailist.net/benchmark/mmmu-pro-standard.md) - [MMMU-Pro (Vision)](https://genailist.net/benchmark/mmmu-pro-vision.md) - [MT-AIME 2024](https://genailist.net/benchmark/mt-aime-2024.md) - [MathVista](https://genailist.net/benchmark/mathvista.md) - [Multi-IF](https://genailist.net/benchmark/multi-if.md) - [Multi-IF (EN)](https://genailist.net/benchmark/multi-if-en.md) - [Multi-SWE-bench](https://genailist.net/benchmark/multi-swe-bench.md) - [MultiChallenge](https://genailist.net/benchmark/multichallenge.md) - [MultiPL-E](https://genailist.net/benchmark/multipl-e.md) - [OJ-Bench (cpp)](https://genailist.net/benchmark/oj-bench.md) - [OSWorld](https://genailist.net/benchmark/osworld.md) - [OSWorld-Verified](https://genailist.net/benchmark/osworld-verified.md) - [Omni-MATH](https://genailist.net/benchmark/omni-math.md) - [Omni-MATH-HARD](https://genailist.net/benchmark/omni-math-hard.md) - [OpenAI MRCR (128k)](https://genailist.net/benchmark/openai-mrcr-128k.md) - [OpenAI MRCR (1M)](https://genailist.net/benchmark/openai-mrcr-1m.md) - [PIQA](https://genailist.net/benchmark/piqa.md) - [PhyBench](https://genailist.net/benchmark/phybench.md) - [PolyMath-en](https://genailist.net/benchmark/polymath-en.md) - [RACE-High](https://genailist.net/benchmark/race-high.md) - [RACE-Middle](https://genailist.net/benchmark/race-middle.md) - [RULER](https://genailist.net/benchmark/ruler.md) - [RepoQA](https://genailist.net/benchmark/repoqa.md) - [RoboTwin 2.0](https://genailist.net/benchmark/robotwin-2.md) - [SWE-Bench Multilingual](https://genailist.net/benchmark/swe-bench-multilingual.md) - [SWE-bench](https://genailist.net/benchmark/swe-bench.md) - [SWE-bench Pro](https://genailist.net/benchmark/swe-bench-pro.md) - [SWE-bench Verified](https://genailist.net/benchmark/swe-bench-verified.md) - [SciCode](https://genailist.net/benchmark/scicode.md) - [ScreenSpot Pro](https://genailist.net/benchmark/screenspot-pro.md) - [Seal-0](https://genailist.net/benchmark/seal-0.md) - [SimpleQA](https://genailist.net/benchmark/simpleqa.md) - [SuperGPQA](https://genailist.net/benchmark/supergpqa.md) - [TAU-bench Airline](https://genailist.net/benchmark/tau-bench-airline.md) - [TAU-bench Retail](https://genailist.net/benchmark/tau-bench-retail.md) - [Terminal-Bench 2.0](https://genailist.net/benchmark/terminal-bench-2.md) - [Terminal-Bench 2.1](https://genailist.net/benchmark/terminal-bench-2-1.md) - [Tool-Decathlon](https://genailist.net/benchmark/tool-decathlon.md) - [TriviaQA](https://genailist.net/benchmark/triviaqa.md) - [TruthfulQA](https://genailist.net/benchmark/truthfulqa.md) - [UGMathBench](https://genailist.net/benchmark/ugmathbench.md) - [Video-MME](https://genailist.net/benchmark/video-mme.md) - [VoiceBench](https://genailist.net/benchmark/voicebench.md) - [WebWalkerQA](https://genailist.net/benchmark/webwalker-qa.md) - [Winogrande](https://genailist.net/benchmark/winogrande.md) - [WritingBench](https://genailist.net/benchmark/writingbench.md) - [ZebraLogic](https://genailist.net/benchmark/zebralogic.md) - [xbench-DeepSearch](https://genailist.net/benchmark/xbench-deepsearch.md) - [xbench-DeepSearch-2510](https://genailist.net/benchmark/xbench-deepsearch-2510.md) - [τ-bench](https://genailist.net/benchmark/tau-bench.md) - [τ²-Bench (TAU2)](https://genailist.net/benchmark/tau2-bench.md) ## Hardware (75) - [AMD Instinct MI300X 192GB](https://genailist.net/hardware/amd-instinct-mi300x-192gb.md) - [AMD Instinct MI325X](https://genailist.net/hardware/amd-instinct-mi325x-256gb.md) - [AMD Instinct MI455X](https://genailist.net/hardware/amd-instinct-mi455x.md) - [AMD Radeon Pro W7900 48GB](https://genailist.net/hardware/amd-radeon-pro-w7900-48gb.md) - [AMD Radeon RX 6800 XT](https://genailist.net/hardware/amd-radeon-rx-6800-xt.md) - [AMD Radeon RX 6900 XT](https://genailist.net/hardware/amd-radeon-rx-6900-xt.md) - [AMD Radeon RX 7800 XT](https://genailist.net/hardware/amd-radeon-rx-7800-xt.md) - [AMD Radeon RX 7900 XT](https://genailist.net/hardware/amd-radeon-rx-7900-xt.md) - [AMD Radeon RX 7900 XTX](https://genailist.net/hardware/amd-radeon-rx-7900-xtx.md) - [AMD Radeon RX 9070 XT](https://genailist.net/hardware/amd-radeon-rx-9070-xt.md) - [AMD Ryzen AI Max+ 395](https://genailist.net/hardware/amd-ryzen-ai-max-395.md) - [Apple M1 Max 32GB](https://genailist.net/hardware/apple-m1-max-32gb.md) - [Apple M1 Max 64GB](https://genailist.net/hardware/apple-m1-max-64gb.md) - [Apple M1 Ultra 128GB](https://genailist.net/hardware/apple-m1-ultra-128gb.md) - [Apple M1 Ultra 64GB](https://genailist.net/hardware/apple-m1-ultra-64gb.md) - [Apple M2 Max 32GB](https://genailist.net/hardware/apple-m2-max-32gb.md) - [Apple M2 Max 64GB](https://genailist.net/hardware/apple-m2-max-64gb.md) - [Apple M2 Max 96GB](https://genailist.net/hardware/apple-m2-max-96gb.md) - [Apple M2 Ultra 192GB](https://genailist.net/hardware/apple-m2-ultra-192gb.md) - [Apple M2 Ultra 64GB](https://genailist.net/hardware/apple-m2-ultra-64gb.md) - [Apple M3 Max 128GB](https://genailist.net/hardware/apple-m3-max-128gb.md) - [Apple M3 Max 36GB](https://genailist.net/hardware/apple-m3-max-36gb.md) - [Apple M3 Max 48GB](https://genailist.net/hardware/apple-m3-max-48gb.md) - [Apple M3 Max 64GB](https://genailist.net/hardware/apple-m3-max-64gb.md) - [Apple M4 Max 128GB](https://genailist.net/hardware/apple-m4-max-128gb.md) - [Apple M4 Max 36GB](https://genailist.net/hardware/apple-m4-max-36gb.md) - [Apple M4 Max 48GB](https://genailist.net/hardware/apple-m4-max-48gb.md) - [Apple M4 Max 64GB](https://genailist.net/hardware/apple-m4-max-64gb.md) - [FuriosaAI RNGD](https://genailist.net/hardware/furiosaai-rngd.md) - [GMKtec EVO-X3](https://genailist.net/hardware/gmktec-evo-x3.md) - [Huawei Ascend 950DT](https://genailist.net/hardware/huawei-ascend-950dt.md) - [Instinct MI430X](https://genailist.net/hardware/instinct-mi430x.md) - [Instinct MI440X](https://genailist.net/hardware/instinct-mi440x.md) - [Instinct MI455X](https://genailist.net/hardware/instinct-mi455x.md) - [Intel Arc A770 16GB](https://genailist.net/hardware/intel-arc-a770-16gb.md) - [Intel Arc B580 12GB](https://genailist.net/hardware/intel-arc-b580-12gb.md) - [Intel Arc Pro B50](https://genailist.net/hardware/intel-arc-pro-b50.md) - [Intel Arc Pro B60](https://genailist.net/hardware/intel-arc-pro-b60.md) - [Intel Arc Pro B70](https://genailist.net/hardware/intel-arc-pro-b70.md) - [Intel Gaudi 3](https://genailist.net/hardware/intel-gaudi-3-128gb.md) - [Jetson Thor T2000](https://genailist.net/hardware/jetson-thor-t2000.md) - [Jetson Thor T3000](https://genailist.net/hardware/jetson-thor-t3000.md) - [NVIDIA A100 PCIe 80GB](https://genailist.net/hardware/nvidia-a100-pcie-80gb.md) - [NVIDIA A100 SXM4 80GB](https://genailist.net/hardware/nvidia-a100-sxm4-80gb.md) - [NVIDIA B200](https://genailist.net/hardware/nvidia-b200-192gb.md) - [NVIDIA DGX Spark](https://genailist.net/hardware/nvidia-dgx-spark.md) - [NVIDIA GeForce RTX 2050](https://genailist.net/hardware/nvidia-geforce-rtx-2050.md) - [NVIDIA GeForce RTX 2050 Mobile](https://genailist.net/hardware/nvidia-geforce-rtx-2050-mobile.md) - [NVIDIA GeForce RTX 3070](https://genailist.net/hardware/nvidia-geforce-rtx-3070.md) - [NVIDIA GeForce RTX 3070 Ti](https://genailist.net/hardware/nvidia-geforce-rtx-3070-ti.md) - [NVIDIA GeForce RTX 3080 10GB](https://genailist.net/hardware/nvidia-geforce-rtx-3080-10gb.md) - [NVIDIA GeForce RTX 3080 Ti](https://genailist.net/hardware/nvidia-geforce-rtx-3080-ti.md) - [NVIDIA GeForce RTX 3090](https://genailist.net/hardware/nvidia-geforce-rtx-3090.md) - [NVIDIA GeForce RTX 3090 Ti](https://genailist.net/hardware/nvidia-geforce-rtx-3090-ti.md) - [NVIDIA GeForce RTX 4060 Ti 16GB](https://genailist.net/hardware/nvidia-geforce-rtx-4060-ti-16gb.md) - [NVIDIA GeForce RTX 4060 Ti 8GB](https://genailist.net/hardware/nvidia-geforce-rtx-4060-ti-8gb.md) - [NVIDIA GeForce RTX 4070](https://genailist.net/hardware/nvidia-geforce-rtx-4070.md) - [NVIDIA GeForce RTX 4070 Super](https://genailist.net/hardware/nvidia-geforce-rtx-4070-super.md) - [NVIDIA GeForce RTX 4070 Ti Super](https://genailist.net/hardware/nvidia-geforce-rtx-4070-ti-super.md) - [NVIDIA GeForce RTX 4080](https://genailist.net/hardware/nvidia-geforce-rtx-4080.md) - [NVIDIA GeForce RTX 4090](https://genailist.net/hardware/nvidia-geforce-rtx-4090.md) - [NVIDIA GeForce RTX 5060 Ti 16GB](https://genailist.net/hardware/nvidia-geforce-rtx-5060-ti-16gb.md) - [NVIDIA GeForce RTX 5060 Ti 8GB](https://genailist.net/hardware/nvidia-geforce-rtx-5060-ti-8gb.md) - [NVIDIA GeForce RTX 5070](https://genailist.net/hardware/nvidia-geforce-rtx-5070.md) - [NVIDIA GeForce RTX 5070 Ti](https://genailist.net/hardware/nvidia-geforce-rtx-5070-ti.md) - [NVIDIA GeForce RTX 5080](https://genailist.net/hardware/nvidia-geforce-rtx-5080.md) - [NVIDIA GeForce RTX 5090](https://genailist.net/hardware/nvidia-geforce-rtx-5090.md) - [NVIDIA H100 PCIe 80GB](https://genailist.net/hardware/nvidia-h100-pcie-80gb.md) - [NVIDIA H100 SXM5 80GB](https://genailist.net/hardware/nvidia-h100-sxm5-80gb.md) - [NVIDIA H200](https://genailist.net/hardware/nvidia-h200-141gb.md) - [NVIDIA Jetson T2000](https://genailist.net/hardware/nvidia-jetson-t2000.md) - [NVIDIA Jetson T3000](https://genailist.net/hardware/nvidia-jetson-t3000.md) - [NVIDIA L40S 48GB](https://genailist.net/hardware/nvidia-l40s-48gb.md) - [NVIDIA RTX 6000 Ada 48GB](https://genailist.net/hardware/nvidia-rtx-6000-ada-48gb.md) - [NVIDIA RTX PRO 6000 Blackwell](https://genailist.net/hardware/nvidia-rtx-pro-6000-blackwell-96gb.md) ## Software and runtimes (13) - [ExLlamaV2](https://genailist.net/software/exllamav2.md) - [KTransformers](https://genailist.net/software/ktransformers.md) - [KoboldCpp](https://genailist.net/software/koboldcpp.md) - [LM Studio](https://genailist.net/software/lm-studio.md) - [LM Studio Bionic](https://genailist.net/software/lm-studio-bionic.md) - [MLX](https://genailist.net/software/mlx.md) - [Ollama](https://genailist.net/software/ollama.md) - [Open WebUI](https://genailist.net/software/open-webui.md) - [SGLang](https://genailist.net/software/sglang.md) - [TensorRT-LLM](https://genailist.net/software/tensorrt-llm.md) - [llama.cpp](https://genailist.net/software/llama-cpp.md) - [text-generation-webui](https://genailist.net/software/text-generation-webui.md) - [vLLM](https://genailist.net/software/vllm.md) --- GenAIList tracks generative AI models, the hardware that runs them and their benchmark scores. Full catalog: https://genailist.net · Machine-readable index: https://genailist.net/llms.txt