FA
Facebook AI Research
Language model · United States ·Dec 2020

ESM1b

Language Open (Restricted)
652.4M
Parameters

About ESM1b

ESM1b is an AI model developed by Facebook AI Research, in the language category, released in 2020, made available as an open-weights model with 0.7B params.

On this page you'll find ESM1b's full specifications. Review provider pricing and benchmark scores below, or compare ESM1b head-to-head with other language models.

→ More models by Facebook AI Research → All language models → AI benchmarks leaderboard

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Run ESM1b locally — what to buy

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Sized to what ESM1b 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 →

Community

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Frequently asked questions

What is ESM1b? ▶

ESM1b is an AI model developed by Facebook AI Research, in the language category, released in 2020. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created ESM1b? ▶

ESM1b was developed by Facebook AI Research and released in 2020.

Is ESM1b open source or proprietary? ▶

ESM1b 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 ESM1b cost? ▶

Pricing for ESM1b depends on the provider. See the providers table on this page for the latest API rates.

How does ESM1b perform on benchmarks? ▶

Benchmark scores for ESM1b 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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