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A head-to-head benchmark comparison of Jamba across 8 evaluations.
We present Jamba, a new base large language model based on a novel hybrid Transformer-Mamba mixture-of-experts (MoE) architecture. Specifically, Jamba interleav.
Full Jamba specs →| Benchmark | Jamba |
|---|---|
| code | |
| HumanEval | 29.3% |
| general | |
| MMLU | 67.4% |
| knowledge | |
| ARC-Challenge | 64.4 |
| math | |
| GSM8K | 59.9% |
| reasoning | |
| BIG-Bench Hard | 45.4% |
| HellaSwag | 87.1 |
| Winogrande | 82.5 |
| safety | |
| TruthfulQA | 46.4% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Jamba has the strongest result on HumanEval among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 8 benchmarks on which at least one of the selected models has a published score.
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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