.samplemodel
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the task arithmetic merge method using teknium/OpenHermes-2.5-Mistral-7B as a base.
Models Merged
The following models were included in the merge:
- Open-Orca/Mistral-7B-OpenOrca
Configuration
The following YAML configuration was used to produce this model:
models:
- model: teknium/OpenHermes-2.5-Mistral-7B
parameters:
weight: 1.0
- model: Open-Orca/Mistral-7B-OpenOrca
parameters:
weight: 0.6
merge_method: task_arithmetic
base_model: teknium/OpenHermes-2.5-Mistral-7B
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 66.87 |
| AI2 Reasoning Challenge (25-Shot) | 64.68 |
| HellaSwag (10-Shot) | 84.63 |
| MMLU (5-Shot) | 63.93 |
| TruthfulQA (0-shot) | 53.34 |
| Winogrande (5-shot) | 78.45 |
| GSM8k (5-shot) | 56.18 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard64.680
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard84.630
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard63.930
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard53.340
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard78.450
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard56.180