Breeze 7B

Breeze-7B is an open-source, 7-billion parameter language model, derived from the Mistral-7B architecture, primarily focused on improving Chinese language comprehension and chatbot capabilities. Current research emphasizes fine-tuning techniques like QLoRA and PEFT to adapt Breeze-7B for specialized tasks, such as medical applications and financial news analysis, while also exploring instruction-tuning for improved performance in dialogue summarization. The availability of Breeze-7B and similar open-source models fosters advancements in multilingual language processing and facilitates broader access to powerful language AI tools for both research and practical applications.