Model Stock: All we need is just a few fine-tuned models
Paper
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2403.19522
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Published
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13
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
This model is a merge of all of my SOVL models, in the hopes to create the most unhinged and wild model possible.
Merge Method
This model was merged using the Model Stock merge method using saishf/Ortho-SOVL-8B-L3 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: saishf/Ortho-SOVL-8B-L3
- model: saishf/Merge-Mayhem-L3-V2
- model: saishf/Merge-Mayhem-L3-V2.1
- model: saishf/SOVLish-Maid-L3-8B
merge_method: model_stock
base_model: saishf/Ortho-SOVL-8B-L3
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 67.43 |
| AI2 Reasoning Challenge (25-Shot) | 62.03 |
| HellaSwag (10-Shot) | 79.68 |
| MMLU (5-Shot) | 67.64 |
| TruthfulQA (0-shot) | 51.84 |
| Winogrande (5-shot) | 76.16 |
| GSM8k (5-shot) | 67.25 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard62.030
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard79.680
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard67.640
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard51.840
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard76.160
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard67.250