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arXiv · 2310.06825

Mistral 7B

Albert Q. Jiang·Alexandre Sablayrolles·Arthur Mensch·Chris Bamford·Devendra Singh Chaplot·Diego de las Casas·Florian Bressand·Gianna Lengyel·Guillaume Lample·Lucile Saulnier·Lélio Renard Lavaud·Marie-Anne Lachaux·Pierre Stock·Teven Le Scao·Thibaut Lavril·Thomas Wang·Timothée Lacroix·William El Sayed
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Abstract

We introduce Mistral 7B v0.1, a 7-billion-parameter language model engineered for superior performance and efficiency. Mistral 7B outperforms Llama 2 13B across all evaluated benchmarks, and Llama 1 34B in reasoning, mathematics, and code generation. Our model leverages grouped-query attention (GQA) for faster inference, coupled with sliding window attention (SWA) to effectively handle sequences of arbitrary length with a reduced inference cost. We also provide a model fine-tuned to follow instructions, Mistral 7B -- Instruct, that surpasses the Llama 2 13B -- Chat model both on human and automated benchmarks. Our models are released under the Apache 2.0 license.

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Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed. 2023-10-10. Mistral 7B. https://arxiv.org/abs/2310.06825

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