Open-source LLM project for Chinese language exploration
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PandaLLM is an open-source project focused on developing and deploying Chinese large language models. It offers a suite of tools and models for training, inference, and community collaboration, aiming to advance Chinese Natural Language Processing (NLP) research and application. The project targets developers and researchers interested in the full LLM technology stack.
How It Works
PandaLLM comprises three main components: PandaLLM (models), PandaLLMOps (tools), and PandaCommunity (community). PandaLLM models are primarily based on LLaMA and LLaMA2, with continuous pre-training on Chinese datasets. PandaLLMOps provides a unified framework for LLM lifecycle management, supporting pre-training, fine-tuning (full parameter, LoRA, QLoRA), and efficient deployment using engines like vLLM and LightLLM. The approach emphasizes using native PyTorch, DeepSpeed, and Huggingface Transformers for flexibility and ease of modification.
Quick Start & Requirements
transformers
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Maintenance & Community
The project is actively developed with regular updates and releases. A strong emphasis is placed on community building through PandaCommunity, offering tutorials, technical discussions, and collaborative projects. Community engagement channels include WeChat groups and GitHub Issues.
Licensing & Compatibility
Models based on LLaMA2 and OpenLLaMA are noted as commercially usable. LLaMA1-based models have restrictions due to the original LLaMA license, with weights provided as deltas. The project's disclaimer requests users not to use the code, data, or models for commercial purposes (except for explicitly stated commercially usable versions) or harmful activities.
Limitations & Caveats
1 year ago
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