Language Open (Restricted)
- Params
- 8.5B
- Context
- —
- Released
- Feb 2024
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// COMPARISON
Gemma 7B
A head-to-head benchmark comparison of Gemma 7B across 14 evaluations.
The models
Benchmark comparison
| Benchmark | Gemma 7B |
|---|---|
| code | |
| HumanEval | 37.2% |
| MBPP | 50.6% |
| general | |
| C-Eval | 43.6% |
| IFEval | 26.59% |
| MMLU | 64.6% |
| MMLU-Pro | 33.7% |
| knowledge | |
| ARC-Challenge | 61.09 |
| math | |
| GSM8K | 50.87% |
| MATH | 24.3% |
| reasoning | |
| BIG-Bench Hard | 55.1% |
| GPQA Diamond | 25.7% |
| HellaSwag | 82.2 |
| Winogrande | 79.01 |
| safety | |
| TruthfulQA | 44.79% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Frequently asked questions
Which of these models is best for coding? ▶
Gemma 7B has the strongest result on HumanEval among the models compared here. See the code-category rows in the table for the full picture.
How many benchmarks are compared? ▶
This comparison covers 14 benchmarks on which at least one of the selected models has a published score.
Where do the benchmark scores come from? ▶
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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