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: simonveitner/Math-OpenHermes-2.5-Mistral-7B
dtype: float16
merge_method: slerp
parameters:
t:
- value: 0.5
slices:
- sources:
- layer_range: [0, 32]
model: simonveitner/Math-OpenHermes-2.5-Mistral-7B
- layer_range: [0, 32]
model: openaccess-ai-collective/dpopenhermes-alpha-v0
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 67.18 |
| AI2 Reasoning Challenge (25-Shot) | 63.99 |
| HellaSwag (10-Shot) | 83.75 |
| MMLU (5-Shot) | 63.60 |
| TruthfulQA (0-shot) | 51.37 |
| Winogrande (5-shot) | 77.90 |
| GSM8k (5-shot) | 62.47 |
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Model tree for nlpguy/Hermes-low-tune
Base model
mistralai/Mistral-7B-v0.1
Finetuned
teknium/OpenHermes-2.5-Mistral-7B
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard63.990
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard83.750
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard63.600
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard51.370
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard77.900
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard62.470