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Key Technical Specifications

Development Features

Optimized for real-world coding workflows with instant responses, reliable function calling, and native JSON support. The 128K context window lets you process entire codebases while maintaining project context.

Performance & Reliability

Production-ready capabilities for professional development:
  • Sub-second response times for rapid iteration
  • Code quality matching GPT-4 across languages
  • Seamless integration with development tools

Use Cases

Software Development
Accelerates development workflows with intelligent code assistance and debugging support.
  • Code generation and completion across major programming languages
  • Bug detection and automated fixes
  • Code review and optimization suggestions
  • API integration assistance
Technical Documentation
Helps create and maintain high-quality technical documentation.
  • API documentation generation
  • Code comment generation and improvement
  • Technical specification writing
  • Documentation updates based on code changes

Best Practices

  • Speed up iterations by giving examples - include sample inputs/outputs or existing code patterns to get production-ready code faster
  • Load entire files into context - with 128K tokens available, you can paste full source files to get contextually-aware suggestions that match your codebase
  • Structure complex responses with JSON mode - perfect for generating config files, API responses, or any data that needs to follow a specific schema
  • Break down complex tasks - split large development tasks into smaller, focused prompts for more reliable and maintainable outputs

Get Started with Qwen-2.5-Coder-32B

Experience state-of-the-art code generation and development assistance with Qwen-2.5-Coder-32B - optimized for exceptional performance on Groq hardware now:

shell
pip install groq
Python
from groq import Groq
client = Groq()
completion = client.chat.completions.create(
    model="qwen-2.5-coder-32b",
    messages=[
        {
            "role": "user",
            "content": "Explain why fast inference is critical for reasoning models"
        }
    ]
)
print(completion.choices[0].message.content)

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