MA
Meta AI
Language model · United States ·Jul 2023

Llama 2-13B

Language Open (Restricted)
13B
Parameters
9
Benchmarks

About Llama 2-13B

Llama 2-13B is an AI model developed by Meta AI, in the language category, released in 2023, made available as an open-weights model with 13B params.

On this page you'll find Llama 2-13B's full specifications, including 9 benchmark results. Review provider pricing and benchmark scores below, or compare Llama 2-13B head-to-head with other language models.

Links

Run Llama 2-13B locally — what to buy

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Sized to what Llama 2-13B 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 2-13B benchmark scores
Benchmark Category Score Variant
MMLU general 55.7% base-cited-olmo2
MMLU-Pro general 23.9% base-cited-olmo2
AGIEval knowledge 41.5 base-cited-olmo2
ARC-Challenge knowledge 67.3 base-cited-olmo2
TriviaQA knowledge 81.3 base-cited-olmo2
GSM8K math 28.1% base-cited-olmo2
DROP reasoning 45.6% base-cited-olmo2
HellaSwag reasoning 83.9 base-cited-olmo2
Winogrande reasoning 74.9 base-cited-olmo2

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Frequently asked questions

What is Llama 2-13B?

Llama 2-13B is an AI model developed by Meta AI, in the language category, released in 2023. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Llama 2-13B?

Llama 2-13B was developed by Meta AI and released in 2023.

Is Llama 2-13B open source or proprietary?

Llama 2-13B 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 2-13B cost?

Pricing for Llama 2-13B depends on the provider. See the providers table on this page for the latest API rates.

How does Llama 2-13B perform on benchmarks?

Llama 2-13B is benchmarked across 9 evaluations on GenAIList, including MMLU (55.7%). See the full benchmark table below and compare it with other models.

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