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README.md
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---
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base_model:
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- nbeerbower/Gemma2-Gutenberg-Doppel-9B
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- wzhouad/gemma-2-9b-it-WPO-HB
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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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[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
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# QuantFactory/Gemma-2-Ataraxy-v3b-9B-GGUF
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This is quantized version of [lemon07r/Gemma-2-Ataraxy-v3b-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-v3b-9B) created using llama.cpp
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# Original Model Card
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# Gemma-2-Ataraxy-v3b-9B
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Another test model.
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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 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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* [nbeerbower/Gemma2-Gutenberg-Doppel-9B](https://huggingface.co/nbeerbower/Gemma2-Gutenberg-Doppel-9B)
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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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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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base_model: wzhouad/gemma-2-9b-it-WPO-HB
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dtype: bfloat16
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merge_method: slerp
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parameters:
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t:
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- filter: self_attn
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value: [0.0, 0.5, 0.3, 0.7, 1.0]
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- filter: mlp
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value: [1.0, 0.5, 0.7, 0.3, 0.0]
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- value: 0.5
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slices:
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- sources:
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- layer_range: [0, 42]
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model: nbeerbower/Gemma2-Gutenberg-Doppel-9B
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- layer_range: [0, 42]
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model: wzhouad/gemma-2-9b-it-WPO-HB
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```
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