preprintarXiv (Cornell University)Oct 10, 2023GREEN OA

Mistral 7B

Indexed inarxivdatacite

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.

Citation impact

281
total citations
FWCI
Percentile
References
0
Citations per year

Authors

18

Topics & keywords

Keywords
  • Computer science
  • License
  • Inference
  • Window (computing)
  • Code (set theory)
  • Programming language
  • MIT License
  • Sliding window protocol
No related works found for this paper.