Mistral Large

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

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  1. llm-mistral

    LLM plugin providing access to Mistral models using the Mistral API

    Feature request for Mistral API maintainers: the https://api.mistral.ai/v1/models API endpoint returns all of the language models and mistral-embed as well, but there's currently nothing in the JSON to help distinguish that embedding models from the others: https://github.com/simonw/llm-mistral/issues/5#issuecomment-...

    It would be useful if there was an indication of which models are embedding models.

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  3. petals

    🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

    So how long until we can do an open source Mistral Large?

    We could make a start on Petals or some other open source distributed training network cluster possibly?

    [0] https://petals.dev/

  4. ollama

    Get up and running with Llama 3.3, Phi 4, Gemma 2, and other large language models.

    Look more closely at the software.

    It does not just magically conjure LLM model files out of thin air.

    Where do those models come from?

    https://github.com/ollama/ollama/issues/2390

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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