chinese-alpaca-2-7b / README.md
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license: apache-2.0

Chinese-Alpaca-2-7B

This is the full Chinese-Alpaca-2-7B model,which can be loaded directly for inference and full-parameter training.

Related models👇

Description of Chinese-LLaMA-Alpaca-2

This project is based on the Llama-2, released by Meta, and it 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.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 47.11
ARC (25-shot) 49.57
HellaSwag (10-shot) 72.62
MMLU (5-shot) 46.5
TruthfulQA (0-shot) 48.63
Winogrande (5-shot) 70.01
GSM8K (5-shot) 5.76
DROP (3-shot) 36.66