Happy Horse 1.0 is now on ModelsLab

Try Now
Skip to main content
Available now on ModelsLab · Language Model

Qwen2.5 72B InstructReason Deeply. Code Precisely

Try Qwen2.5 72B InstructAPI Documentation

Master Complex Tasks

Coding Mastery

Advanced Code Generation

Handles complex programming with specialized math and coding knowledge.

Long Context

128K Token Support

Processes up to 131K input tokens and generates 8K outputs via Qwen2.5 72B Instruct API.

Multilingual Power

29+ Languages

Supports Chinese, English, French, and more for global structured data tasks.

Examples

See what Qwen2.5 72B Instruct can create

Copy any prompt below and try it yourself in the playground.

Python Algorithm

“Write a Python function using dynamic programming to solve the longest common subsequence problem for two input strings, include time complexity analysis and test cases.”

JSON Data Parser

“Parse this JSON table of sales data across regions and generate a structured summary report with totals by quarter in markdown format.”

Math Proof

“Prove the fundamental theorem of calculus step-by-step, using chain of thought reasoning, and provide a numerical example with derivatives.”

Multilingual Summary

“Summarize this English article on AI ethics in French, preserving key technical terms and outputting in JSON with original and translated sections.”

For Developers

A few lines of code.
Inference. Four lines.

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
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Qwen2.5 72B Instruct

Read the docs

Decoder-only LLM from Alibaba with 72B parameters. Supports instruction following, coding, math. Available via API with 128K context.

Up to 131,072 input tokens. Generates 8,192 tokens max. Full long-context handling in Qwen2.5 72B Instruct.

Yes, function calling supported. No image input or embeddings. Uses ChatML format.

Outperforms many models including Llama-3-405B on benchmarks. Strong in reasoning, math, coding.

29+ languages: Chinese, English, French, Spanish, Arabic. Enhanced multilingual instruction following.

Customizable with LoRA on your data. Improves responses for specific tasks via Qwen2.5 72B Instruct API.

Ready to create?

Start generating with Qwen2.5 72B Instruct on ModelsLab.

Try Qwen2.5 72B InstructAPI Documentation