[Nvidia] Guide: Getting llama-7b 4bit running in simple(ish?) steps!

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

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  • GPTQ-for-LLaMa

    4 bits quantization of LLaMA using GPTQ

    • quant_cuda is from https://github.com/qwopqwop200/GPTQ-for-LLaMa, the library needed to run 4bit models. Since you're missing it, it either wasn't installed or failed during installation.

  • text-generation-webui

    A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

    • git remote add upstream https://github.com/oobabooga/text-generation-webui.git git merge --squash -m "Merge upstream" upstream/main

  • 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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  • stable-diffusion-webui-docker

    Easy Docker setup for Stable Diffusion with user-friendly UI

  • text-generation-webui

    A gradio web UI for running Large Language Models like GPT-J 6B, OPT, GALACTICA, GPT-Neo, and Pygmalion. (by TheTerrasque)

    • You will need the latest git version, not v0.1 release. (https://github.com/TheTerrasque/text-generation-webui -> code -> download zip) - that holds the (first) official lora support code from the webui project, but I haven't tested it much.

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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