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This project has open-sourced the Chinese LLaMA model and the Alpaca large model with instruction fine-tuning to further promote the open research of large models in the Chinese NLP community. Based on the original LLaMA , these models expand the Chinese vocabulary and use Chinese data for secondary pre-training, which further improves the basic semantic understanding of Chinese. At the same time, the Chinese Alpaca model further uses Chinese instruction data for fine-tuning, which significantly improves the model's ability to understand and execute instructions.
Features
- Expanded the Chinese vocabulary for the original LLaMA model, improving the efficiency of Chinese encoding and decoding
- Open source Chinese LLaMA pre-trained with Chinese text data and Chinese Alpaca with fine-tuned instructions
- Open source pre-training scripts and instruction fine-tuning scripts, users can further train the model as needed
- Quickly use the CPU/GPU of a laptop (personal PC) to quantify and deploy a large model locally
- Support transformers, llama.cpp, text-generation-webui, LlamaChat, LangChain, privateGPT and other
- Currently open source model versions: 7B (Basic, Plus , Pro ), 13B (Basic, Plus, Pro ) , 33B (Basic, Plus , Pro )
- Generate performance evaluation
Project Samples
License
Apache License V2.0Follow Chinese-LLaMA-Alpaca-2 v2.0
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