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README.md
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---
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base_model:
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- ehristoforu/Gemma2-9B-it-psy10k-mental_health
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- ehristoforu/Gemma2-9b-it-train6
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- princeton-nlp/gemma-2-9b-it-SimPO
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- nbeerbower/gemma2-gutenberg-9B
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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/Gemma2-9B-TitanFusion-GGUF
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This is quantized version of [bunnycore/Gemma2-9B-TitanFusion](https://huggingface.co/bunnycore/Gemma2-9B-TitanFusion) created using llama.cpp
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# Original Model Card
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# merge
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [nbeerbower/gemma2-gutenberg-9B](https://huggingface.co/nbeerbower/gemma2-gutenberg-9B) 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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* [ehristoforu/Gemma2-9B-it-psy10k-mental_health](https://huggingface.co/ehristoforu/Gemma2-9B-it-psy10k-mental_health)
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* [ehristoforu/Gemma2-9b-it-train6](https://huggingface.co/ehristoforu/Gemma2-9b-it-train6)
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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: princeton-nlp/gemma-2-9b-it-SimPO
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parameters:
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weight: 0.5
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density: 0.5
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- model: nbeerbower/gemma2-gutenberg-9B
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parameters:
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weight: 0.5
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density: 0.5
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- model: ehristoforu/Gemma2-9B-it-psy10k-mental_health
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parameters:
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weight: 0.5
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density: 0.5
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- model: ehristoforu/Gemma2-9b-it-train6
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parameters:
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weight: 0.5
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density: 0.5
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merge_method: dare_ties
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base_model: nbeerbower/gemma2-gutenberg-9B
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dtype: bfloat16
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```
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