Qwen
Qwen2.5-7B-Instruct is a open-weight Qwen llm model with a 131,072 token context window.
Running this yourself: consumer gpu should be enough.
43.4
Quality Score
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Arena ELO
7B
Parameters
131K
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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12.6M
Downloads
1.2K
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Sep 2024
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 sourceQwen2.5-7B-Instruct — BigCodeBench #80
Complete: 46.1 | Instruct: 37.6 | 7B params
View sourceQwen 2.5 - SWE-Bench Verified
SWE-Bench Verified resolved rate 40.2
View sourcePPO-Qwen2.5-7B-Instruct - GAIA
GAIA score 5.3 from PurpleNightmare-ppo-qwen2.5-7b
View source