merged
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: openaccess-ai-collective/DPOpenHermes-7B-v2
dtype: bfloat16
merge_method: slerp
parameters:
t:
- value: 0.25
slices:
- sources:
- layer_range: [0, 32]
model: openaccess-ai-collective/DPOpenHermes-7B-v2
- layer_range: [0, 32]
model: nlpguy/Hermes-low-tune-2
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 69.25 |
| AI2 Reasoning Challenge (25-Shot) | 66.21 |
| HellaSwag (10-Shot) | 84.99 |
| MMLU (5-Shot) | 63.74 |
| TruthfulQA (0-shot) | 57.94 |
| Winogrande (5-shot) | 78.77 |
| GSM8k (5-shot) | 63.84 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard66.210
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard84.990
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard63.740
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard57.940
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard78.770
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard63.840