#Baichuan-7B

This open-source project introduces a commercially viable language model with 7 billion parameters based on the transformer architecture. It's optimized for both Chinese and English, demonstrating superior performance on benchmarks like C-Eval and MMLU. With 1.2 trillion tokens and a context length of 4096, the model employs advanced tokenization to enhance language compression efficiency and computational throughput. Compatible with Hugging Face and other platforms, this project provides a comprehensive training guide.