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
- 13,321
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for vicgalle/CarbonBeagle-11B-truthy
Dataset used to train vicgalle/CarbonBeagle-11B-truthy
Spaces using vicgalle/CarbonBeagle-11B-truthy 3
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