GML-Mistral-merged-v1
Quick attempt to reproduce zyh3826/GML-Mistral-merged-v1.
This model is a merge of the following models made with mergekit:
🧩 Configuration
slices:
- sources:
- model: quantumaikr/quantum-v0.01
layer_range: [0, 32]
- sources:
- model: mncai/mistral-7b-dpo-v5
layer_range: [24, 32]
merge_method: passthrough
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 48.54 |
| AI2 Reasoning Challenge (25-Shot) | 43.77 |
| HellaSwag (10-Shot) | 57.89 |
| MMLU (5-Shot) | 64.13 |
| TruthfulQA (0-shot) | 51.58 |
| Winogrande (5-shot) | 73.88 |
| GSM8k (5-shot) | 0.00 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard43.770
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard57.890
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.130
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard51.580
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard73.880
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard0.000