merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the della merge method using win10/Mistral-Nemo-abliterated-Nemo-Pro-v2 as a base.
Models Merged
The following models were included in the merge:
- ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
- DavidAU/MN-Dark-Planet-TITAN-12B
- elinas/Chronos-Gold-12B-1.0
- Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24
- MarinaraSpaghetti/NemoMix-Unleashed-12B
- nothingiisreal/MN-12B-Celeste-V1.9
- TheDrummer/Rocinante-12B-v1
Configuration
The following YAML configuration was used to produce this model:
models:
- model: win10/Mistral-Nemo-abliterated-Nemo-Pro-v2
parameters:
density: 0.11
weight: 0.11
- model: Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24
parameters:
density: 0.9
weight: 1.0
- model: nothingiisreal/MN-12B-Celeste-V1.9
parameters:
density: 0.8
weight: 1.0
- model: elinas/Chronos-Gold-12B-1.0
parameters:
density: 0.8
weight: 1.0
- model: TheDrummer/Rocinante-12B-v1
parameters:
density: 0.8
weight: 1.0
- model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
parameters:
density: 0.8
weight: 1.0
- model: DavidAU/MN-Dark-Planet-TITAN-12B
parameters:
density: 0.8
weight: 1.0
- model: MarinaraSpaghetti/NemoMix-Unleashed-12B
parameters:
density: 0.9
weight: 1.0
merge_method: della
base_model: win10/Mistral-Nemo-abliterated-Nemo-Pro-v2
parameters:
epsilon: 0.09
lambda: 1.00
int8_mask: true
dtype: float16
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