[N] OpenLLaMA: An Open Reproduction of LLaMA

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

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  • open_llama

    OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

  • RedPajama-Data

    The RedPajama-Data repository contains code for preparing large datasets for training large language models.

  • Not sure, but their wikipedia code do support limited multilingual language

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • llama

    Inference code for Llama models

  • If you have lots of available VRAM and a powerful GPU, the use the original llama inference code, which is actually open source.

  • llama.cpp

    LLM inference in C/C++

  • If your GPU isn't good enough, you could use llama.cpp, which runs on CPU, or one of its forks like fastLLaMa.

  • fastLLaMa

    fastLLaMa: An experimental high-performance framework for running Decoder-only LLMs with 4-bit quantization in Python using a C/C++ backend.

  • If your GPU isn't good enough, you could use llama.cpp, which runs on CPU, or one of its forks like fastLLaMa.

  • 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.

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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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