Marie-Anne Lachaux
Co-author of Meta's LLaMA and Llama 2 papers and of Mistral 7B; first author on unsupervised code translation
Marie-Anne Lachaux is a co-author of LLaMA: Open and Efficient Foundation Language Models (2023), written at Meta AI, and of Llama 2: Open Foundation and Fine-Tuned Chat Models (2023), from GenAI at Meta. Earlier, listed with Facebook AI Research, Lachaux was first author of Unsupervised Translation of Programming Languages (2020), which trains a neural transcompiler on monolingual open-source code to translate functions between C++, Java and Python and releases a test set with unit tests. Lachaux also co-authored the Mistral 7B (2023) and Mixtral of Experts (2024) papers, whose abstracts say the models are released under the Apache 2.0 license.12345
Work
LLaMA and Llama 2Open weights
Co-author of LLaMA (2023), whose abstract says all models were released to the research community, and of Llama 2 (2023), which develops and releases pretrained and chat models from 7 billion to 70 billion parameters.12
Unsupervised Translation of Programming Languages (external site: arxiv.org)Published research
First author of the 2020 paper (with Baptiste Roziere, Lowik Chanussot and Guillaume Lample), written at Facebook AI Research, on a neural transcompiler trained without parallel data.3
Mistral 7B and Mixtral 8x7B (external site: arxiv.org)Open weights
Co-author of the Mistral 7B (2023) and Mixtral of Experts (2024) papers; both abstracts say the models are released under the Apache 2.0 license.45
Other documented roles
Roles the sources document but that are not confirmed as current.
- Author listed with Facebook AI Research (2020), Meta AI (2023) and GenAI, Meta (2023), Meta (Facebook AI Research and Meta AI)312
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