MA
Meta AI
Multimodal model · United States ·Sep 2024

Llama 3.2 11B

Multimodal Open (Restricted)
10.6B
Parameters
6
Benchmarks

About Llama 3.2 11B

Llama 3.2 11B is an AI model developed by Meta AI, in the multimodal category, released in 2024, made available as an open-weights model with 10.6B params.

On this page you'll find Llama 3.2 11B's full specifications, including 6 benchmark results. Review provider pricing and benchmark scores below, or compare Llama 3.2 11B head-to-head with other multimodal models.

Links

Run Llama 3.2 11B locally — what to buy

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Sized to what Llama 3.2 11B 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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Llama 3.2 11B benchmark scores
Benchmark Category Score Variant
MMLU general 69.4% 5-shot-cited-aria
MATH math 51.9% cited-aria
ChartQA multimodal 83.4% cited-aria
DocVQA multimodal 84.400 cited-aria
MMMU multimodal 50.7% cited-aria
MathVista multimodal 51.5% cited-aria

More models like Llama 3.2 11B

Frequently asked questions

What is Llama 3.2 11B?

Llama 3.2 11B is an AI model developed by Meta AI, in the multimodal category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Llama 3.2 11B?

Llama 3.2 11B was developed by Meta AI and released in 2024.

Is Llama 3.2 11B open source or proprietary?

Llama 3.2 11B 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 Llama 3.2 11B cost?

Pricing for Llama 3.2 11B depends on the provider. See the providers table on this page for the latest API rates.

How does Llama 3.2 11B perform on benchmarks?

Llama 3.2 11B is benchmarked across 6 evaluations on GenAIList, including MMLU (69.4%). See the full benchmark table below and compare it with other models.

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