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--- |
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base_model: |
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- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3 |
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- princeton-nlp/gemma-2-9b-it-SimPO |
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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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license: gemma |
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pipeline_tag: text-generation |
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--- |
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# Gemma2-Nephilim-v3-9B |
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This repo contains a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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Though none of the components of this merge were trained for roleplay nor intended for it, the model can be used effectively in that role. |
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Tested with temperature 1 and minP 0.01. This model leans toward being creative, so adjust temperature upward or downward as desired. The Instruct template used during testing can be found below: |
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- [context template](https://huggingface.co/debased-ai/SillyTavern-settings/blob/main/advanced_formatting/context_template/Gemma2%20Unleashed3.json) |
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- [instruct prompt](https://huggingface.co/debased-ai/SillyTavern-settings/blob/main/advanced_formatting/instruct_mode/Gemma2%20Unleashed3.json) |
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Afterword: In subsequent testing, I encountered an occasional lapse in tracking context for complex scenarios, which seems to originate in the SPPO model. This lapse is not present in [grimjim/Kitsunebi-v1-Gemma2-8k-9B](https://huggingface.co/grimjim/Kitsunebi-v1-Gemma2-8k-9B). |
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## Merge Details |
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### Merge Method |
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This model was merged using the SLERP merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3) |
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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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slices: |
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- sources: |
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- model: princeton-nlp/gemma-2-9b-it-SimPO |
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layer_range: |
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- 0 |
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- 42 |
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- model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3 |
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layer_range: |
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- 0 |
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- 42 |
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merge_method: slerp |
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base_model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3 |
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parameters: |
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t: |
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- filter: self_attn |
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value: |
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- 0 |
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- 0.5 |
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- 0.3 |
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- 0.7 |
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- 1 |
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- filter: mlp |
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value: |
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- 1 |
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- 0.5 |
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- 0.7 |
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- 0.3 |
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- 0 |
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- value: 0.5 |
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dtype: bfloat16 |
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``` |
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