Qwen
Qwen2.5-Coder-7B-Instruct is a 7B parameter instruction-tuned language model optimized for code-related tasks such as code generation, reasoning, and bug fixing. Based on the Qwen2.5 architecture, it incorporates enhancements like RoPE,...
Running this yourself: consumer gpu should be enough.
28.4
Quality Score
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Arena ELO
7B
Parameters
33K
Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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Apr 2025
Released
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct - SWE-Bench Verified
SWE-Bench Verified resolved rate 69.6
View sourcehttps://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct - SWE-Bench Verified
SWE-Bench Verified resolved rate 69.6
View sourceQwen2.5-Coder-7B-Instruct — BigCodeBench #62
Complete: 48.8 | Instruct: 40.4 | 7B params
View sourceQwen2.5-Coder-7B-Instruct — BigCodeBench #62
Complete: 48.8 | Instruct: 40.4 | 7B params
View source