Chinese Llama 2 7b 16k

🚀 Chinese-LLaMA-2-7B-16K

This is the full Chinese-LLaMA-2-7B-16K model with a context size of 16K, which can be directly loaded for inference and full-parameter training.

Related models👇

Long context base models (16K)

• Chinese-LLaMA-2-7B-16K (full model)
• Chinese-LLaMA-2-LoRA-7B-16K (LoRA model)
• Chinese-LLaMA-2-13B-16K (full model)
• Chinese-LLaMA-2-LoRA-13B-16K (LoRA model)

Long context Instruction/Chat models

• Chinese-Alpaca-2-7B-16K (full model)
• Chinese-Alpaca-2-LoRA-7B-16K (LoRA model)
• Chinese-Alpaca-2-13B-16K (full model)
• Chinese-Alpaca-2-LoRA-13B-16K (LoRA model)

Base models

• Chinese-LLaMA-2-7B (full model)
• Chinese-LLaMA-2-LoRA-7B (LoRA model)
• Chinese-LLaMA-2-13B (full model)
• Chinese-LLaMA-2-LoRA-13B (LoRA model)

Instruction/Chat models

• Chinese-Alpaca-2-7B (full model)
• Chinese-Alpaca-2-LoRA-7B (LoRA model)
• Chinese-Alpaca-2-13B (full model)
• Chinese-Alpaca-2-LoRA-13B (LoRA model)

📚 Documentation

Description of Chinese-LLaMA-Alpaca-2

This project is based on Llama-2 released by Meta and is the second generation of the Chinese LLaMA & Alpaca LLM project. We open-source Chinese LLaMA-2 (foundation model) and Alpaca-2 (instruction-following model). These models have been expanded and optimized with Chinese vocabulary beyond the original Llama-2. We used large-scale Chinese data for incremental pre-training, which further improved the fundamental semantic understanding of the Chinese language, resulting in a significant performance improvement compared to the first-generation models. The relevant models support a 4K context and can be expanded up to 18K+ using the NTK method.

The main contents of this project include:

• 🚀 New extended Chinese vocabulary beyond Llama-2, open-sourcing the Chinese LLaMA-2 and Alpaca-2 LLMs.
• 🚀 Open-sourced the pre-training and instruction finetuning (SFT) scripts for further tuning on user's data
• 🚀 Quickly deploy and experience the quantized LLMs on CPU/GPU of personal PC
• 🚀 Support for LLaMA ecosystems like 🤗transformers, llama.cpp, text-generation-webui, LangChain, vLLM etc.

Please refer to https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/ for details.

📄 License

This project is licensed under the Apache-2.0 license.