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---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
---
# Franken-Mistress-10.5B-v2
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
So far of the Franken merges, this one does very well using the Min-P and Noromaid settings in SillyTavern 2. This one seems even better then the 10.5B version of this model. I uploaded 3 files for SillyTavern that can be imported. I take no credit for these files, not sure who original authors are.
* [MinP-text-completion-preset.json](https://huggingface.co/ND911/Franken-MistressMaid-7B-v2/blob/main/MinP-text-completion-preset.json])
* [rp-merge-text-completion-preset.json](https://huggingface.co/ND911/Franken-MistressMaid-7B-v2/blob/main/rp-merge-text-completion-preset.json)
* [noromaid-context-template.json](https://huggingface.co/ND911/Franken-MistressMaid-7B-v2/blob/main/noromaid-context-template.json)
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* Franken-Maid-v2
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Franken-Maid-v2
layer_range: [0, 16]
- sources:
- model: Franken-Maid-v2
layer_range: [8, 24]
- sources:
- model: Franken-Maid-v2
layer_range: [17, 32]
merge_method: passthrough
dtype: float16
```
```yaml
models:
- model: ibm/merlinite-7b
parameters:
weight: 1
density: 1
- model: Undi95/Toppy-M-7B
parameters:
weight: 0.3
- model: jondurbin/bagel-dpo-7b-v0.4
parameters:
weight: 0.2
- model: senseable/WestLake-7B-v2
parameters:
weight: 0.2
- model: l3utterfly/mistral-7b-v0.1-layla-v4
parameters:
weight: 0.2
merge_method: ties
base_model: Franken-Maid
parameters:
density: 0.4
int8_mask: true
normalize: true
dtype: bfloat16
```
```yaml
models:
- model: SanjiWatsuki/Sonya-7B
parameters:
weight: 1
density: 1
- model: SanjiWatsuki/Loyal-Toppy-Bruins-Maid-7B-DARE
parameters:
weight: 0.3
- model: Azazelle/Half-NSFW_Noromaid-7b
parameters:
weight: 0.2
- model: senseable/WestLake-7B-v2
parameters:
weight: 0.2
- model: l3utterfly/mistral-7b-v0.1-layla-v4
parameters:
weight: 0.2
merge_method: ties
base_model: Weyaxi/OpenHermes-2.5-neural-chat-7b-v3-1-7B
parameters:
density: 0.4
int8_mask: true
normalize: true
dtype: bfloat16
``` |