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README.md
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---
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base_model:
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- jsgreenawalt/gemma-2-9B-it-advanced-v2.1
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- nbeerbower/gemma2-gutenberg-9B
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- ifable/gemma-2-Ifable-9B
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- UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
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- lemon07r/Gemma-2-Ataraxy-9B
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- BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
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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://hf.co/QuantFactory)
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# QuantFactory/Pullulation-2-9B-GGUF
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This is quantized version of [ClaudioItaly/Pullulation-2-9B](https://huggingface.co/ClaudioItaly/Pullulation-2-9B) 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 [Model Stock](https://arxiv.org/abs/2403.19522) 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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* [jsgreenawalt/gemma-2-9B-it-advanced-v2.1](https://huggingface.co/jsgreenawalt/gemma-2-9B-it-advanced-v2.1)
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* [ifable/gemma-2-Ifable-9B](https://huggingface.co/ifable/gemma-2-Ifable-9B)
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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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* [lemon07r/Gemma-2-Ataraxy-9B](https://huggingface.co/lemon07r/Gemma-2-Ataraxy-9B)
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* [BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference](https://huggingface.co/BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference)
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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: nbeerbower/gemma2-gutenberg-9B
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parameters:
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weight: 0.25
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- model: UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
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parameters:
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weight: 0.25
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- model: ifable/gemma-2-Ifable-9B
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parameters:
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weight: 0.25
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- model: jsgreenawalt/gemma-2-9B-it-advanced-v2.1
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parameters:
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weight: 0.25
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- model: lemon07r/Gemma-2-Ataraxy-9B
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parameters:
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weight: 0.25
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- model: BAAI/Gemma2-9B-IT-Simpo-Infinity-Preference
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parameters:
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weight: 0.25
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base_model: nbeerbower/gemma2-gutenberg-9B # Modello di riferimento per la fusione
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parameters:
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t: [0, 0.33, 0.67, 1] # Parametri di interpolazione
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dtype: bfloat16
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merge_method: model_stock # Metodo di fusione
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```
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