UO
University of Bari
Language model · Italy ·Dec 2023

LLaMAntino-2

Language Open Weights
13B
Parameters

About LLaMAntino-2

LLaMAntino-2 is an AI model developed by University of Bari, in the language category, released in 2023, made available as an open-weights model with 13B params. Italian-adapted LLaMA-2 (7B/13B) from the University of Bari..

On this page you'll find LLaMAntino-2's full specifications. Review provider pricing and benchmark scores below, or compare LLaMAntino-2 head-to-head with other language models.

→ More models by University of Bari → All language models → AI benchmarks leaderboard

Links

Announcement ↗

Run LLaMAntino-2 locally — what to buy

Share this build ↗

Sized to what LLaMAntino-2 actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.

Good
Intel Arc B580 12GB
Consumer GPU · ~$249
~45.1 tok/s
Q4 · fits full context · up to 8k ctx
Runs with: ExLlamaV2, KoboldCpp, LM Studio
See full estimate →
Better
Intel Arc A770 16GB
Consumer GPU · ~$329
~55.4 tok/s
Q4 · fits full context · up to 8k ctx
Runs with: ExLlamaV2, KoboldCpp, LM Studio
See full estimate →
Best
NVIDIA GeForce RTX 4090
Consumer GPU · ~$1,599
~120 tok/s
Q4 · fits full context · up to 8k ctx
Runs with: ExLlamaV2, KoboldCpp, LM Studio
See full estimate →

Software support

·ExLlamaV2 ·KoboldCpp ·LM Studio ·MLX ·Ollama ·SGLang ·TensorRT-LLM ·llama.cpp ·vLLM ?KTransformers ?text-generation-webui

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

Consumer GPU
22.2–120+ tok/s
28 options →
Apple
33.8–90.1 tok/s
17 options →
Datacenter GPU
91.4–120+ tok/s
13 options →

Community

Would you run LLaMAntino-2 again?
No votes yet — be the first.
Did it run? — community reports by hardware

No reports yet. Own this model on some hardware? Be the first to confirm it runs.

Discussion

No comments yet. Start the discussion.

More models like LLaMAntino-2

AI
DMind-1
 AI
COLLECTIVE-1
 AI
Cogito 1 series
 AI
Euler (Euler大模型)
· 2.5B
 AI
SmolLM-1.7B
· 1.7B
 AI
Llama-3-70B-Synthia-v3.5
· 70B

Frequently asked questions

What is LLaMAntino-2? ▶

Italian-adapted LLaMA-2 (7B/13B) from the University of Bari. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created LLaMAntino-2? ▶

LLaMAntino-2 was developed by University of Bari and released in 2023.

Is LLaMAntino-2 open source or proprietary? ▶

LLaMAntino-2 ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does LLaMAntino-2 cost? ▶

Pricing for LLaMAntino-2 depends on the provider. See the providers table on this page for the latest API rates.

How does LLaMAntino-2 perform on benchmarks? ▶

Benchmark scores for LLaMAntino-2 are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

No videos yet. Know a good one? Add it below.

Know a great video about LLaMAntino-2?