FA
Facebook
Language model · United States ·Nov 2019

CamemBERT

Language Open (Restricted)
335M
Parameters

About CamemBERT

CamemBERT is an AI model developed by Facebook, in the language category, released in 2019, made available as an open-weights model with 0.3B params.

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

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

Links

Announcement ↗

Run CamemBERT locally — what to buy

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Sized to what CamemBERT 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 CamemBERT? ▶

CamemBERT is an AI model developed by Facebook, in the language category, released in 2019. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created CamemBERT? ▶

CamemBERT was developed by Facebook and released in 2019.

Is CamemBERT open source or proprietary? ▶

CamemBERT 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 CamemBERT cost? ▶

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

How does CamemBERT perform on benchmarks? ▶

Benchmark scores for CamemBERT 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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