[D] High-quality, open-source implementations of LLMs

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • llama

    Inference code for Llama models

    LLaMA [GitHub]

  • stanford_alpaca

    Code and documentation to train Stanford's Alpaca models, and generate the data.

    Alpaca [GitHub]

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • gpt4all

    gpt4all: run open-source LLMs anywhere

    GPT4ALL [GitHub]

  • FastChat

    An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

    there's also Vicuna: https://github.com/lm-sys/FastChat

  • Open-Assistant

    OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

    There is also open assistant https://github.com/LAION-AI/Open-Assistant

  • open-llms

    📋 A list of open LLMs available for commercial use.

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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