Model library / Qwen / Qwen 2.5 32B Coder Instruct

Qwen 2.5 32B Coder Instruct

LLM TRT-LLM H100

A large model in the Qwen family of LLMs, tuned for coding

Deploy Qwen 2.5 32B Coder Instruct behind an API endpoint in seconds.

Deploy model

Example usage

Qwen uses the standard llama-style multi-turn messaging framework with system and user prompts.

Input

1import requests
2
3# Replace the empty string with your model id below
4model_id = ""
5baseten_api_key = os.environ["BASETEN_API_KEY"]
6
7data = {
8    "messages": [
9        {"role": "system", "content": "You are Qwen, created by Alibaba Cloud. You are a helpful assistant."},
10        {"role": "user", "content": "Write a Python script for fizzbuzz."},
11    ]
12    "stream": True,
13    "max_new_tokens": 512,
14    "temperature": 0.9
15}
16
17# Call model endpoint
18res = requests.post(
19    f"https://model-{model_id}.api.baseten.co/production/predict",
20    headers={"Authorization": f"Api-Key {baseten_api_key}"},
21    json=data,
22    stream=True
23)
24
25# Print the generated tokens as they get streamed
26for content in res.iter_content():
27    print(content.decode("utf-8"), end="", flush=True)

JSON output

1[
2    "streaming",
3    "output",
4    "text"
5]

Example usage

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