Franken-Mistress-7B-v2
This is a merge of pre-trained language models created using 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
- rp-merge-text-completion-preset.json
- noromaid-context-template.json
Merge Method
This model was merged using the TIES merge method using Franken-Maid as a base.
Models Merged
The following models were included in the merge:
- ibm/merlinite-7b
- l3utterfly/mistral-7b-v0.1-layla-v4
- Undi95/Toppy-M-7B
- senseable/WestLake-7B-v2
- jondurbin/bagel-dpo-7b-v0.4
Configuration
The following YAML configuration was used to produce this model:
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
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
- Downloads last month
- 16
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.