Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 76.10 |
| AI2 Reasoning Challenge (25-Shot) | 72.27 |
| HellaSwag (10-Shot) | 89.31 |
| MMLU (5-Shot) | 66.55 |
| TruthfulQA (0-shot) | 78.55 |
| Winogrande (5-shot) | 83.82 |
| GSM8k (5-shot) | 66.11 |
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.29 |
| IFEval (0-Shot) | 52.12 |
| BBH (3-Shot) | 33.99 |
| MATH Lvl 5 (4-Shot) | 4.76 |
| GPQA (0-shot) | 6.60 |
| MuSR (0-shot) | 4.11 |
| MMLU-PRO (5-shot) | 26.19 |
- Downloads last month
- 14,463
Model tree for vicgalle/CarbonBeagle-11B-truthy
Dataset used to train vicgalle/CarbonBeagle-11B-truthy
Spaces using vicgalle/CarbonBeagle-11B-truthy 6
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard72.270
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard89.310
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard66.550
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard78.550
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard83.820
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard66.110
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard52.120
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard33.990
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard4.760
- acc_norm on GPQA (0-shot)Open LLM Leaderboard6.600