Previously, we opensourced a series of Qwen1.5 model ranging from 0.5 to 110 billion parameters. Now, we release a larger model, Qwen-Max-0428. Qwen-Max-0428 is an instruction-tuned model for chat service. Very recently, it is available via Chatbot Arena and it has now become the top-10 in the leaderboard. Furthermore, our evaluation of MT-Bench also demonstrates that the new model outperforms our previous largest model Qwen1.5-110B-Chat.

Models	MT-Bench	Arena
Qwen1.5-110B-Chat	8.88	1172
Qwen-Max-0428	8.96	1186

We provide a demo of chat service of Qwen-Max-0428 (link) in Hugging Face Spaces:

It is also accessible through the official DashScope API (link). Additionally, now the DashScope API is compatible with the OpenAI API format. Below is an example of usage:


    from openai import OpenAI
    
    client = OpenAI(
        api_key="$your-dashscope-api-key",
        base_url="https://dashscope.aliyuncs.com/compatible-mode/v1"
    )
    
    completion = client.chat.completions.create(
        model="qwen-max",
        messages=[{'role': 'system', 'content': 'You are a helpful assistant.'},
                  {'role': 'user', 'content': 'Tell me something about large language models.'}]
    )
    print(completion.choices[0].message)

This model is available in our web service and APP (link, only accessible in mainland China). Enjoy!

Citation


    @misc{qwen1.5,
        title = {Introducing Qwen1.5},
        url = {https://qwenlm.github.io/blog/qwen1.5/},
        author = {Qwen Team},
        month = {February},
        year = {2024}
    }

Notes on Qwen-Max-0428

Citation