This repository is a curated collection of resources for Large Language Models (LLMs), targeting researchers, developers, and practitioners in the NLP field. It aims to provide a centralized hub for discovering open-source models, instruction datasets, and relevant research papers, thereby accelerating LLM development and adoption.

How It Works

The project functions as a comprehensive, community-driven index. It categorizes and links to various LLM-related assets, including pre-trained models (e.g., StableLM, Colossal-AI, LLaMA, ChatGLM-6B), diverse instruction-following datasets (e.g., PromptSource, Super-Natural-Instruct, Self-Instruct, ShareGPT52K), and a vast array of research papers covering LLM applications, evaluations, and theoretical aspects. The organization by category allows users to efficiently navigate and find specific resources.

Quick Start & Requirements

This repository is a curated list and does not have a direct installation or execution command. Users are expected to follow the links provided to access individual models, datasets, or papers, each with its own set of requirements (e.g., Python, specific libraries, hardware).

Highlighted Details

• Extensive coverage of open-source LLMs and their corresponding GitHub repositories.
• Detailed listing of instruction-following datasets, including size, language, and generation method.
• Broad categorization of research papers, spanning applications like machine translation, summarization, code intelligence, and AI ethics.
• Includes resources for both English and Chinese language models and datasets.

Maintenance & Community

The project is community-driven, with updates indicated by dates in the README. Specific contributors or community channels (like Discord/Slack) are not explicitly mentioned in the provided README.

Licensing & Compatibility

The repository itself does not specify a license. However, the linked resources (models, datasets, papers) will have their own individual licenses, which users must adhere to. Compatibility for commercial use or closed-source linking will vary significantly depending on the license of each linked resource.

Limitations & Caveats

As a curated list, the project's content is dependent on external updates and may not always reflect the absolute latest advancements. The quality and usability of linked resources are not guaranteed by this repository.