MA
Meta AI
Language model · United States ·Jun 2022

OPT-350M

Language Open Weights
350M
Parameters

About OPT-350M

OPT-350M is an AI model developed by Meta AI, in the language category, released in 2022, made available as an open-weights model with 0.4B params.

On this page you'll find OPT-350M's full specifications. Review provider pricing and benchmark scores below, or compare OPT-350M head-to-head with other language models.

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

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Run OPT-350M locally — what to buy

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Sized to what OPT-350M 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 OPT-350M? ▶

OPT-350M 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 OPT-350M? ▶

OPT-350M was developed by Meta AI and released in 2022.

Is OPT-350M open source or proprietary? ▶

OPT-350M 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 OPT-350M cost? ▶

Pricing for OPT-350M depends on the provider. See the providers table on this page for the latest API rates.

How does OPT-350M perform on benchmarks? ▶

Benchmark scores for OPT-350M 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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