MA
Meta AI
Language model · United States ·Jul 2022

ESM2-3B

Language Open (Restricted)
3B
Parameters

About ESM2-3B

ESM2-3B is an AI model developed by Meta AI, in the language category, released in 2022, made available as an open-weights model with 3B params.

On this page you'll find ESM2-3B's full specifications. Review provider pricing and benchmark scores below, or compare ESM2-3B head-to-head with other language models.

→ More models by Meta AI → All language models → AI benchmarks leaderboard

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Run ESM2-3B locally — what to buy

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Sized to what ESM2-3B 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
58–120+ tok/s
33 options →
Apple
58–120+ tok/s
18 options →
Datacenter GPU
120+ tok/s
13 options →

Community

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Frequently asked questions

What is ESM2-3B? ▶

ESM2-3B is an AI model developed by Meta AI, in the language category, released in 2022. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created ESM2-3B? ▶

ESM2-3B was developed by Meta AI and released in 2022.

Is ESM2-3B open source or proprietary? ▶

ESM2-3B 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 ESM2-3B cost? ▶

Pricing for ESM2-3B depends on the provider. See the providers table on this page for the latest API rates.

How does ESM2-3B perform on benchmarks? ▶

Benchmark scores for ESM2-3B 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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