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--- |
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license: apache-2.0 |
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tags: |
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- merge |
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--- |
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This model is a [Slerp Merge](https://github.com/cg123/mergekit/blob/main/mergekit/merge_methods/slerp.py) of [cookinai/CatMacaroni-Slerp](https://huggingface.co/cookinai/CatMacaroni-Slerp) and [mncai/mistral-7b-dpo-v5](https://huggingface.co/mncai/mistral-7b-dpo-v5). |
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# Evaluation Results |
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### HuggingFace Leaderboard |
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| Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K | |
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| --- | --- | --- | --- | --- | --- | --- | |
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| 73.1 | 69.62 | 87.09 | 64.81 | 62.82 | 81.45 | 72.78 | |
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The model did achieve an improvement in TruthfulQA over `cookinai/CatMacaroni-Slerp` and GSM8K over `mncai/mistral-7b-dpo-v5` |
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which was the goal of the merge leading to an average score that was a better than both. It is unclear why the TruthfulQA metric |
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is still meaningfully lower than the base `mncai/mistral-7b-dpo-v5`. |
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# Training Details |
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.yaml file for mergekit |
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```yaml |
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slices: |
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- sources: |
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- model: cookinai/CatMacaroni-Slerp |
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layer_range: [0, 32] |
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- model: mncai/mistral-7b-dpo-v5 |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: mncai/mistral-7b-dpo-v5 |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 # fallback for rest of tensors |
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dtype: float16 |
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``` |
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# Bias, Risks, and Limitations |
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The model has not been evaluated for safety and is only intended for research and experiments. |
