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---
base_model:
- princeton-nlp/gemma-2-9b-it-SimPO
- TheDrummer/Gemmasutra-9B-v1
tags:
- mergekit
- merge
- roleplay
- sillytavern
- gemma2
language:
- en
---
Same reliable approach as before. A good RP model and a suitable dose of SimPO are a match made in heaven.
All quants made using imatrix option with dataset provided by bartowski [here](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8)
## SillyTavern
## Text Completion presets
```
temp 0.9
top_k 30
top_p 0.75
min_p 0.2
rep_pen 1.1
smooth_factor 0.25
smooth_curve 1
```
## Advanced Formatting
Context & Instruct Presets for Gemma [Here](https://huggingface.co/tannedbum/ST-Presets/tree/main) IMPORTANT !
Instruct Mode: Enabled
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [princeton-nlp/gemma-2-9b-it-SimPO](https://huggingface.co/princeton-nlp/gemma-2-9b-it-SimPO)
* [TheDrummer/Gemmasutra-9B-v1](https://huggingface.co/TheDrummer/Gemmasutra-9B-v1)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: TheDrummer/Gemmasutra-9B-v1
layer_range: [0, 42]
- model: princeton-nlp/gemma-2-9b-it-SimPO
layer_range: [0, 42]
merge_method: slerp
base_model: TheDrummer/Gemmasutra-9B-v1
parameters:
t:
- filter: self_attn
value: [0.2, 0.4, 0.6, 0.2, 0.4]
- filter: mlp
value: [0.8, 0.6, 0.4, 0.8, 0.6]
- value: 0.4
dtype: bfloat16
```
Want to support my work ? My Ko-fi page: https://ko-fi.com/tannedbum |