codegemma-7b is a open-weight Google llm model.
Running this yourself: desktop gpu should be enough.
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Quality Score
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Arena ELO
9B
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
14 of 22 public signals
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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2.5K
Downloads
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Mar 2024
Released
3/5 signals
2/4 signals
4/5 signals
3/4 signals
2/4 signals
Gaps we are still tracking
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.
CodeGemma-7B — BigCodeBench #73
Complete: 38.3 | 7B params
View sourceCodeGemma-7B — BigCodeBench #73
Complete: 38.3 | 7B params
View sourceCodeGemma-7B — BigCodeBench #73
Complete: 38.3 | 7B params
View sourcegoogle/codegemma-7b · Hugging Face
Google published benchmark or leaderboard evidence for codegemma-7b.
View source