CM
Carnegie Mellon University (CMU)
Language model · United States ·Sep 2019

DEQ-Transformer (Medium, Adaptive Embedding)

Language Open (Restricted)
110M
Parameters

About DEQ-Transformer (Medium, Adaptive Embedding)

DEQ-Transformer (Medium, Adaptive Embedding) is an AI model developed by Carnegie Mellon University (CMU), in the language category, released in 2019, made available as an open-weights model with 0.1B params.

On this page you'll find DEQ-Transformer (Medium, Adaptive Embedding)'s full specifications. Review provider pricing and benchmark scores below, or compare DEQ-Transformer (Medium, Adaptive Embedding) head-to-head with other language models.

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Run DEQ-Transformer (Medium, Adaptive Embedding) locally — what to buy

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Sized to what DEQ-Transformer (Medium, Adaptive Embedding) 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.

Best
Intel Arc B580 12GB
Consumer GPU · ~$249
~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
120+ tok/s
33 options →
Apple
120+ tok/s
18 options →
Datacenter GPU
120+ tok/s
13 options →

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Frequently asked questions

What is DEQ-Transformer (Medium, Adaptive Embedding)? ▶

DEQ-Transformer (Medium, Adaptive Embedding) is an AI model developed by Carnegie Mellon University (CMU), in the language category, released in 2019. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created DEQ-Transformer (Medium, Adaptive Embedding)? ▶

DEQ-Transformer (Medium, Adaptive Embedding) was developed by Carnegie Mellon University (CMU) and released in 2019.

Is DEQ-Transformer (Medium, Adaptive Embedding) open source or proprietary? ▶

DEQ-Transformer (Medium, Adaptive Embedding) 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 DEQ-Transformer (Medium, Adaptive Embedding) cost? ▶

Pricing for DEQ-Transformer (Medium, Adaptive Embedding) depends on the provider. See the providers table on this page for the latest API rates.

How does DEQ-Transformer (Medium, Adaptive Embedding) perform on benchmarks? ▶

Benchmark scores for DEQ-Transformer (Medium, Adaptive Embedding) are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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