Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 73.85 |
AI2 Reasoning Challenge (25-Shot) | 70.48 |
HellaSwag (10-Shot) | 88.76 |
MMLU (5-Shot) | 66.94 |
TruthfulQA (0-shot) | 67.01 |
Winogrande (5-shot) | 83.50 |
GSM8k (5-shot) | 66.41 |
- Downloads last month
- 65
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for vicgalle/OpenBeagle-11B
Dataset used to train vicgalle/OpenBeagle-11B
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard70.480
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard88.760
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard66.940
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard67.010
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard83.500
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard66.410