NeuralBeagle-11B
DPO'd from vicgalle/franken-Beagle-11B, a Beagle-like model upscaled to 11B. It is a frankenmerge model created using mergekit. Then, we applied DPO over a high-quality preference dataset.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 72.06 |
| AI2 Reasoning Challenge (25-Shot) | 73.63 |
| HellaSwag (10-Shot) | 87.86 |
| MMLU (5-Shot) | 63.11 |
| TruthfulQA (0-shot) | 75.92 |
| Winogrande (5-shot) | 82.08 |
| GSM8k (5-shot) | 49.73 |
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Dataset used to train vicgalle/NeuralBeagle-11B-truthy
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard73.630
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard87.860
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard63.110
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard75.920
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard82.080
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard49.730