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README.md
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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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- google/gemma-2-9b-it
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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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---
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![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)
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# QuantFactory/gemma-advanced-v1-GGUF
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This is quantized version of [jsgreenawalt/gemma-advanced-v1](https://huggingface.co/jsgreenawalt/gemma-advanced-v1) created using llama.cpp
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# Original Model Card
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# Gemma Advanced V1
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Experimental merge #1, attempting to combine some of the advanced Gemma fine-tunes
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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/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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# no parameters necessary for base model
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- model: princeton-nlp/gemma-2-9b-it-SimPO
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parameters:
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density: 0.5
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weight: 0.5
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- model: wzhouad/gemma-2-9b-it-WPO-HB
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parameters:
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density: 0.5
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weight: 0.5
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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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dtype: float16
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```
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