[D] What Repos/Tools Should We Pay Attention To?

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

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  • llama.cpp

    LLM inference in C/C++

  • Right now https://github.com/ggerganov/llama.cpp is the dominant back-end for querying models, but forks and alternatives like https://github.com/ravenscroftj/turbopilot keep popping up. Increasingly, models submitted to huggingface explicitly note in their READMEs that the model is not compatible with llama.cpp, and that a different back-end must be used.

  • turbopilot

    Discontinued Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU

  • Right now https://github.com/ggerganov/llama.cpp is the dominant back-end for querying models, but forks and alternatives like https://github.com/ravenscroftj/turbopilot keep popping up. Increasingly, models submitted to huggingface explicitly note in their READMEs that the model is not compatible with llama.cpp, and that a different back-end must be used.

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  • ggml

    Tensor library for machine learning

  • The related https://github.com/ggerganov/ggml project (same dev as llama.cpp),

  • nanoGPT

    The simplest, fastest repository for training/finetuning medium-sized GPTs.

  • The excellent https://github.com/karpathy/nanoGPT project, for training your own models,

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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