Fine
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using mlabonne/AlphaMonarch-7B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: dare_ties
base_model: mlabonne/AlphaMonarch-7B
parameters:
normalize: true
models:
- model: jeiku/Luna_7B
parameters:
weight: 0.75
- model: jeiku/Cookie_7B
parameters:
weight: 1
- model: jeiku/NarrativeNexus_7B
parameters:
weight: 0.5
- model: CultriX/NeuralTrix-bf16
parameters:
weight: 0.75
- model: mlabonne/AlphaMonarch-7B
parameters:
weight: 1
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 72.05 |
| AI2 Reasoning Challenge (25-Shot) | 70.31 |
| HellaSwag (10-Shot) | 87.28 |
| MMLU (5-Shot) | 64.51 |
| TruthfulQA (0-shot) | 65.79 |
| Winogrande (5-shot) | 81.61 |
| GSM8k (5-shot) | 62.77 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard70.310
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard87.280
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.510
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard65.790
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard81.610
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard62.770