Qwen2.5 3B Instruct
Efficient Instructions, Maximum Output
Deploy Qwen2.5 3B Instruct Now
32K Context
Qwen2.5 3B Instruct
Handles 32,768 tokens input, generates 8K tokens for long texts and structured data.
Coding Math Boost
qwen2 5 3b instruct
Excels in coding, mathematics, instruction following across 29+ languages.
JSON Outputs
qwen2.5 3b instruct API
Produces reliable JSON and structured outputs for API integrations.
Examples
See what Qwen2.5 3B Instruct can create
Copy any prompt below and try it yourself in the playground.
Code Generator
“Write a Python function to sort a list of dictionaries by a key value, handle edge cases like empty lists and missing keys, output as executable code block.”
JSON Parser
“Parse this JSON data: {"items": [{"name": "tool", "price": 10}, {"name": "gear", "price": 20}]}, generate summary table in markdown with totals.”
Math Solver
“Solve quadratic equation ax^2 + bx + c = 0 for a=1, b=-3, c=2, explain steps, output roots in exact form.”
Text Summary
“Summarize key improvements in Qwen2.5 over Qwen2: more knowledge, coding, math, long texts, structured data, 128K context support.”
For Developers
A few lines of code.
Instruct. Generate. Deploy.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Qwen2.5 3B Instruct on ModelsLab.