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Qwen2.5-Coder 7B Instruct

Overview

Qwen2.5-Coder is a specialized coding model trained on 5.5 trillion tokens of code data, supporting 92 programming languages with a 128K context window. It excels in code generation, completion, and repair while maintaining strong performance in math and general tasks. The model demonstrates exceptional capabilities in multi-programming language tasks and code reasoning.

Qwen2.5-Coder 7B Instruct was released on September 19, 2024.

Performance

Timeline

ReleasedUnknown
Knowledge CutoffUnknown

Specifications

Parameters
7.0B
License
Apache 2.0
Training Data
Unknown
Tags
tuning:instruct

Benchmarks

Qwen2.5-Coder 7B Instruct Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Fri Jan 02 2026
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Pricing

Pricing, performance, and capabilities for Qwen2.5-Coder 7B Instruct across different providers:

No pricing information available for this model.

API Access

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Recent Posts

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FAQ

Common questions about Qwen2.5-Coder 7B Instruct

Qwen2.5-Coder 7B Instruct was released on September 19, 2024.
Qwen2.5-Coder 7B Instruct has 7.0 billion parameters.