API DEMO DISCORD

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.

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}
}