This repository provides a Google Colab notebook for running various large language models (LLMs) through a Gradio web UI. It targets users who want to easily experiment with different LLMs without complex local setup, offering a convenient way to interact with models like Llama-2, Vicuna, and WizardLM.

How It Works

The project leverages Google Colab's GPU resources and the text-generation-webui by oobabooga. It simplifies the deployment process by providing a pre-configured environment within a Colab notebook, allowing users to select and load various quantized LLMs (primarily GPTQ 4-bit) directly from Hugging Face. This approach significantly reduces the barrier to entry for using powerful LLMs.

Quick Start & Requirements

• Install/Run: Open the provided Colab notebook link.
• Prerequisites: A Google account for Colab. GPU runtime is automatically enabled.
• Setup: Typically takes a few minutes for the notebook to install dependencies and load the model.
• Links:
  • Colab Notebook: [Link to Colab notebook not provided in README, but implied by "Colab | colab | Info"]
  • Text Generation WebUI: https://github.com/oobabooga/text-generation-webui

Highlighted Details

• Supports a wide range of popular LLMs, including Llama-2, Vicuna, WizardLM, and CodeLlama, often in 4-bit GPTQ quantized versions.
• Streamlines the process of loading and running models within a cloud environment.
• Offers a Gradio-based web interface for user-friendly interaction.

Maintenance & Community

• The project is actively updated, with links to Twitter and Discord for community engagement and updates.
• Relies heavily on the text-generation-webui project by oobabooga.
• Patreon community link provided for support.

Licensing & Compatibility

• The text-generation-webui itself is under Apache License 2.0.
• Model licenses vary; Llama 2 is available for research and commercial use. However, the README notes potential conflicts with Colab Pro usage for Llama models due to licensing confusion, citing Yann LeCun's comments on GPL v3. Vicuna models are explicitly stated as for non-commercial use.

Limitations & Caveats

• The README expresses confusion regarding the licensing of Llama models with Colab Pro, suggesting potential non-commercial restrictions.
• Users may encounter IndexError if the model's instruction template is not correctly set.
• The project is marked as "WIP" (Work In Progress).