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Guillaume Lample

Co-founder and Chief Science Officer of Mistral AI; equal-contribution author of Meta's LLaMA paper

  • Co-founder and Chief Science Officer, Mistral AI1

Guillaume Lample is a co-founder and the Chief Science Officer of Mistral AI, according to the company's about page. Lample's GitHub profile lists a research scientist role at Facebook AI Research, working on unsupervised machine translation, symbolic mathematics, and theorem proving. Lample is one of the equal-contribution authors of LLaMA: Open and Efficient Foundation Language Models (2023), written at Meta AI, and first author of papers on unsupervised machine translation (2017), cross-lingual language model pretraining (XLM, 2019), and deep learning for symbolic mathematics (2019). Lample co-authored the Mistral 7B and Mixtral of Experts papers, which say the models are released under the Apache 2.0 license.12367845

Work

Other documented roles

Roles the sources document but that are not confirmed as current.

This profile covers public professional work only, from the sources below. It is not an endorsement or a ranking. To correct or remove it, use the correction form.

Sources · reviewed Oct 13, 2026

  1. 1.
    Mistral AI — About (founders) (external site: mistral.ai)

    Mistral AI · Official page · accessed Oct 13, 2026

  2. 2.
    glample (Guillaume Lample) on GitHub (external site: github.com)

    GitHub · Official page · accessed Oct 13, 2026

  3. 3.
  4. 4.
    Mistral 7B (arXiv 2310.06825) (external site: arxiv.org)

    arXiv · Paper · published Oct 10, 2023 · accessed Oct 13, 2026

  5. 5.
    Mixtral of Experts (arXiv 2401.04088) (external site: arxiv.org)

    arXiv · Paper · published Jan 8, 2024 · accessed Oct 13, 2026

  6. 6.
  7. 7.
    Cross-lingual Language Model Pretraining (arXiv 1901.07291) (external site: arxiv.org)

    arXiv · Paper · published Jan 22, 2019 · accessed Oct 13, 2026

  8. 8.
    Deep Learning for Symbolic Mathematics (arXiv 1912.01412) (external site: arxiv.org)

    arXiv · Paper · published Dec 2, 2019 · accessed Oct 13, 2026

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