Miqu-6B-truthy
A truthfully Miqu of 6B parameters, as an experiment.
"results": {
"truthfulqa_mc": {
"mc1": 0.2521419828641371,
"mc1_stderr": 0.01520152224629995,
"mc2": 0.5051887026752994,
"mc2_stderr": 0.016738600540275827
}
},
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 30.28 |
| AI2 Reasoning Challenge (25-Shot) | 27.65 |
| HellaSwag (10-Shot) | 26.71 |
| MMLU (5-Shot) | 27.04 |
| TruthfulQA (0-shot) | 50.63 |
| Winogrande (5-shot) | 49.64 |
| GSM8k (5-shot) | 0.00 |
- Downloads last month
- 93
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.
Dataset used to train vicgalle/Miqu-6B-truthy
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard27.650
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard26.710
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard27.040
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard50.630
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard49.640
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard0.000