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README.md
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---
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base_model:
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- princeton-nlp/gemma-2-9b-it-SimPO
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- TheDrummer/Gemmasutra-9B-v1
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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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- roleplay
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- sillytavern
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- gemma2
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language:
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- en
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---
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# QuantFactory/Ellaria-9B-GGUF
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This is quantized version of [tannedbum/Ellaria-9B](https://huggingface.co/tannedbum/Ellaria-9B) created using llama.cpp
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# Original Model Card
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Same reliable approach as before. A good RP model and a suitable dose of SimPO are a match made in heaven.
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## SillyTavern
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## Text Completion presets
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```
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temp 0.9
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top_k 30
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top_p 0.75
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min_p 0.2
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rep_pen 1.1
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smooth_factor 0.25
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smooth_curve 1
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```
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## Advanced Formatting
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Context & Instruct Presets for Gemma [Here](https://huggingface.co/tannedbum/ST-Presets/tree/main) IMPORTANT !
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Instruct Mode: Enabled
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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 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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* [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO)
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* [TheDrummer/Gemmasutra-9B-v1](https://huggingface.co/TheDrummer/Gemmasutra-9B-v1)
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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: TheDrummer/Gemmasutra-9B-v1
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layer_range: [0, 42]
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- model: princeton-nlp/gemma-2-9b-it-SimPO
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layer_range: [0, 42]
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merge_method: slerp
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base_model: TheDrummer/Gemmasutra-9B-v1
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parameters:
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t:
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- filter: self_attn
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value: [0.2, 0.4, 0.6, 0.2, 0.4]
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- filter: mlp
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value: [0.8, 0.6, 0.4, 0.8, 0.6]
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- value: 0.4
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dtype: bfloat16
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```
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Want to support my work ? My Ko-fi page: https://ko-fi.com/tannedbum
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