French AI startup Mistral secures €2B valuation

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • llama-mistral

    Inference code for Mistral and Mixtral hacked up into original Llama implementation

  • No. Without the inference code, the best we can have are guesses on its implementation, so the benchmark figures we can get could be quite wrong. It does seem better than Llama2-70B in my tests, which rely on the work done by Dmytro Dzhulgakov[0] and DiscoResearch[1].

    But the point of releasing on bittorrent is to see the effervescence in hobbyist research and early attempts at MoE quantization, which are already ongoing[2]. They are benefitting from the community.

    [0]: https://github.com/dzhulgakov/llama-mistral

    [1]: https://huggingface.co/DiscoResearch/mixtral-7b-8expert

    [2]: https://github.com/TimDettmers/bitsandbytes/tree/sparse_moe

  • bitsandbytes

    Accessible large language models via k-bit quantization for PyTorch.

  • No. Without the inference code, the best we can have are guesses on its implementation, so the benchmark figures we can get could be quite wrong. It does seem better than Llama2-70B in my tests, which rely on the work done by Dmytro Dzhulgakov[0] and DiscoResearch[1].

    But the point of releasing on bittorrent is to see the effervescence in hobbyist research and early attempts at MoE quantization, which are already ongoing[2]. They are benefitting from the community.

    [0]: https://github.com/dzhulgakov/llama-mistral

    [1]: https://huggingface.co/DiscoResearch/mixtral-7b-8expert

    [2]: https://github.com/TimDettmers/bitsandbytes/tree/sparse_moe

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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