qwen1.5-14b-chat

Qwen1.5-14B-Chat is a mid-sized conversational model in the Qwen1.5 series, which served as the public beta release transitioning toward the Qwen2 generation. Developed by Alibaba's Qwen team, it is an open-weight model designed to provide a balance between linguistic performance and computational efficiency. It utilizes a decoder-only transformer architecture featuring enhancements such as SwiGLU activation and a comprehensive vocabulary of over 150,000 tokens. The model supports a stable context length of up to 32,768 tokens, enabling the processing of long-form documents and complex multi-turn dialogues. Training involved supervised fine-tuning (SFT) and Direct Preference Optimization (DPO) to improve alignment with human preferences. Qwen1.5-14B-Chat demonstrates proficiency in multilingual communication, mathematical reasoning, and programming tasks. It also natively supports agentic capabilities, including tool use and structured data generation.