FA
Facebook AI Research
Multimodal model · United States ·May 2024

Chameleon-34B

Multimodal Open Weights
34B
Parameters

About Chameleon-34B

Chameleon-34B is an AI model developed by Facebook AI Research, in the multimodal category, released in 2024, made available as an open-weights model with 34B params.

On this page you'll find Chameleon-34B's full specifications. Review provider pricing and benchmark scores below, or compare Chameleon-34B head-to-head with other multimodal models.

Links

Run Chameleon-34B locally — what to buy

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Sized to what Chameleon-34B 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.

Software support

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

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Frequently asked questions

What is Chameleon-34B?

Chameleon-34B is an AI model developed by Facebook AI Research, in the multimodal category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Chameleon-34B?

Chameleon-34B was developed by Facebook AI Research and released in 2024.

Is Chameleon-34B open source or proprietary?

Chameleon-34B 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 Chameleon-34B cost?

Pricing for Chameleon-34B depends on the provider. See the providers table on this page for the latest API rates.

How does Chameleon-34B perform on benchmarks?

Benchmark scores for Chameleon-34B 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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