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--- |
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base_model: |
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- wzhouad/gemma-2-9b-it-WPO-HB |
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- princeton-nlp/gemma-2-9b-it-SimPO |
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- google/gemma-2-9b-it |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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# An experimental intermediate merge |
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This merge is intended as an intermediate merge for further merges. It's useable as-is, and doesn't show any glaring signs of broken behavior. I've included a Q8_0 gguf in the repo if anyone is curious to try it. |
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The intuition behind this merge is as follows: |
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We keep the top 65 percent of weight deltas from the WPO-HB fine tune at a (very near) 1.0 weight |
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We 'flood fill' the remaining 45 percent of model weights with the SimPO weights. Because normalize is set to true, this results in a 1.0 weight from SimPO's deltas on any non-overlapping weights. |
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In cases of overlap with the top 65 weights from WPO-HB, the relative weight contribution for SimPO is near zero. In cases of non-overlap, each model gets a 1.0 or very near 1.0 weight for the merge. |
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Per the mergekit docs: |
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weight - relative (or absolute if normalize=False) weighting of a given tensor |
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normalize - if true, the weights of all models contributing to a tensor will be normalized. Default behavior. |
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🤔 Assuming I've understood correctly, anyway. If anyone knows of a way to get model stats, ex, something like a diff that just spits out stats about the weight differences between two models, feel free to leave a comment in the discussion. I'd love to be able to *verify* exactly what's happened to the weights, and if it's matching my expectations 🤷 |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the della merge method using [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [wzhouad/gemma-2-9b-it-WPO-HB](https://huggingface.co/wzhouad/gemma-2-9b-it-WPO-HB) |
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* [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: google/gemma-2-9b-it |
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- model: wzhouad/gemma-2-9b-it-WPO-HB |
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parameters: |
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density: 0.65 |
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weight: 1.00 |
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- model: princeton-nlp/gemma-2-9b-it-SimPO |
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parameters: |
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density: 1.0 |
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weight: 0.00001 |
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merge_method: della |
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base_model: google/gemma-2-9b-it |
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parameters: |
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normalize: true |
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int8_mask: true |
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lambda: 1.0 |
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epsilon: 0.1 |
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dtype: float16 |
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``` |
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