AITeamVN/Vi-Qwen2-7B-RAG

Vi-Qwen2-7B-RAG by AITeamVN is a 7.6 billion parameter large language model fine-tuned from Qwen2-7B-Instruct, specifically optimized for Retrieval Augmented Generation (RAG) tasks in Vietnamese. It excels at extracting useful information from noisy documents, refusing to answer when information is absent, integrating information from multiple documents, and accurately identifying relevant context. The model supports a context length of up to 131072 tokens, making it suitable for complex RAG applications.