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torilinux's Introduction

ToriLinux - Linux LiveCD for offline AI training and inference

vLLM on ToriLinux

LiveCD distribution based on ArchLinux and currently includes the following projects preinstalled, along with their dependencies:

If you would like to see another AI-related project included in ToriLinux, please open an issue.

Features

  • Easy setup: just boot the ISO, and you will have a working setup for training and/or inferencing Large Language Models/Stable Diffusion/etc.
  • Fully offline training and/or inference.
  • Includes performance state switcher, which reduces GPU temperatures when inference is not running (only on NVIDIA, automatic, llama.cpp, vllm supported).

Usage

To use ToriLinux:

  1. Install Ventoy on a USB drive.
  2. Download the latest ISO from workflows and copy it to the USB drive.
  3. Boot from the USB drive (select it as the boot device in BIOS/UEFI).
  4. Log in with the username tori and password tori. You can also use SSH.

The following options are currently available:

  1. Headless: Headless variant without GUI, for servers.
  2. With GUI: A variant with a GUI, for desktops.
  3. Empty: A variant WITHOUT projects, with CUDA/ROCm only.
Headless With GUI Empty
NVIDIA NVIDIA headless NVIDIA with GUI NVIDIA empty
AMD AMD headless AMD with GUI AMD empty

Note: You need to be logged in to GitHub to download artifacts. You can use nightly.link to download artifacts without authorization.

Misc

Note that you need pre-downloaded models on a local hard drive or NFS server, or enough RAM and internet connection to download models directly into RAM.

Note that following projects is not available on ROCm version:

The server for building the ROCm version is provided by @Sepera-okeq.

torilinux's People

Contributors

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torilinux's Issues

Request for Clarification on Project Licensing with GPL and AGPL Dependencies"

I'm wondering if it's appropriate to license the project under the MIT license, given that it's built on top of Arch Linux (which is licensed under GPL) and includes several repositories that are licensed under AGPL (such as text-generation-webui, sillytavern, and automatic). Could you please clarify the licensing considerations for this project?

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