Tongyi Qianwen (Qwen)

Top-performance foundation models from Alibaba Cloud

About Qwen

Alibaba Cloud provides Tongyi Qianwen (Qwen) model series to the open-source community, including Qwen, the large language model (LLM), Qwen-VL, the large language vision model, and Qwen-Audio, the large language audio model. Qwen models are pre-trained on multilingual data covering various industries and domains, with Qwen-72B being trained on an astounding 3 trillion tokens of data. These models offer a wide range of capabilities, including multimodal understanding and generation, state-of-the-art image processing, and fully managed APIs to support your innovation in generative AI.

Qwen has been upgraded to version 1.5 (the Beta version of Qwen 2). Qwen 1.5 includes 6 model sizes: 0.5B, 1.8B, 4B, 7B, and 72B, all of which support the context length of 32768 tokens, with significant quality improvements and enhanced multilingual capabilities. A comprehensive evaluation was conducted to test Qwen 1.5's performance in language understanding, coding, reasoning, multilingual capabilities, human preference, agent, retrieval-augmented generation (RAG), etc. See more details in this article.

  • Leading Performance in Multiple Dimensions

    Qwen outperforms other open-source baseline models of similar sizes on a series of benchmark datasets that evaluate natural language understanding, mathematical problem-solving, coding, etc.

  • Easy and Low-Cost Customization

    You can deploy Qwen models with a few clicks in PAI-EAS, and fine-tune them with your data stored on Alibaba Cloud, or external sources, to perform industry or enterprise-specific tasks.

  • Applications for Generative AI Era

    You can leverage Qwen APIs to build generative AI applications for a broad range of scenarios such as writing, image generation, audio analysis, etc. to improve work efficiency in your organization and transform customer experience.

Qwen Success Stories

What Qwen Can Do

Understand Multimodal Data
You can use Qwen models to build a chat assistant that understands multimodal data including text, audio, video, etc., to interact with users intelligently and comprehensively.

Chatbot based on Qwen, Qwen-Audio, and Qwen-VL answering questions containing multimodal data

Qwen-Agent: Developing AI Agents and Applications in Simple Steps

Qwen-Agent is a framework for developing LLM applications based on the instruction following, tool usage, planning, and memory capabilities of Qwen models. It provides various components for LLMs, prompts, and agents. Follow this tutorial and learn to use the Assistant component to add customized tools and quickly develop an agent that uses these tools.

Qwen on Open-Source Communities

Download Qwen models and try Qwen demos on Hugging Face.

Qwen on Hugging Face >

Download Qwen models and try Qwen demos on ModelScope.

Qwen on ModelScope >

Download Qwen models and read tutorials on GitHub.

Qwen on GitHub >