This repository, OpenLLMAI/OpenLLMWiki, serves as a comprehensive survey and documentation hub for open-source ChatGPT alternatives and implementations. It aims to provide resources for researchers and developers interested in understanding, reproducing, and adapting large language models for specific domains or tasks, with a focus on making advanced NLP accessible.

How It Works

The project is structured around the "OpenNLP" initiative, aiming to democratize NLP technologies. It categorizes efforts into "OpenChatGPT" (focusing on replicating and adapting models like ChatGPT) and "OpenX" (broader NLP goals). The "ChatPiXiu" project is a core component, detailing the development of a ChatGPT-like model library, including research on foundational models, training techniques, and domain-specific adaptations (e.g., for Q&A or legal contexts). It emphasizes a modular approach, supporting various base models and fine-tuning methods like LoRA.

Quick Start & Requirements

• Install: git clone https://github.com/catqaq/ChatPiXiu.git
• Prerequisites: Data preparation is required. Specific hardware requirements (e.g., GPU, VRAM) are not explicitly detailed but are implied for model training and inference.
• Resources: Links to detailed documentation, articles, and discussions are available within the repository.

Highlighted Details

• Comprehensive survey of over 60 open-source ChatGPT alternatives and 15+ foundational LLMs.
• Detailed breakdown of training frameworks (ColossalAI, DeepSpeed-Chat, nanoGPT, trlx) and data sources.
• Focus on reproducing ChatGPT's RLHF pipeline (SFT, Reward Model, PPO).
• Exploration of domain adaptation techniques for specific use cases like Q&A and legal applications.

Maintenance & Community

The project is initiated by "羡鱼智能" (xianyu.ai) as part of their "OpenNLP" plan. Community contributions are encouraged for development and discussion. A QQ group (740679327) is available for technical exchange.

Licensing & Compatibility

Model licenses vary depending on the base model provider (e.g., LLaMA's license, Apache-2.0, MIT). The project itself appears to be open for contribution and discussion, but specific code licenses for different components are not uniformly stated. Users must verify individual model licenses for commercial use.

Limitations & Caveats

The project is actively under development, with many components marked as "doing" or "TODO." The README indicates that the initial version was completed by a single individual, and resource constraints (especially compute power) may affect development pace. Model licenses are diverse and require careful review for commercial applications.