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A head-to-head benchmark comparison of Tulu 3 8B across 10 evaluations.
Language model post-training is applied to refine behaviors and unlock new skills across a wide range of recent language models, but open recipes for applying t.
Full Tulu 3 8B specs →| Benchmark | Tulu 3 8B |
|---|---|
| code | |
| HumanEval | 83.9% |
| HumanEval+ | 79.2% |
| general | |
| AlpacaEval 2 | 34.5% |
| IFEval | 82.4% |
| MMLU | 68.2% |
| math | |
| GSM8K | 87.6% |
| MATH | 43.7% |
| reasoning | |
| BIG-Bench Hard | 66% |
| DROP | 62.6% |
| safety | |
| TruthfulQA | 55% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Tulu 3 8B 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 10 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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