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---
base_model:
- v000000/NM-12B-Lyris-dev-3
- ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
library_name: transformers
tags:
- mergekit
- merge
---
# insanity
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the della_linear merge method using [ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1) as a base.
### Models Merged
The following models were included in the merge:
* Insanity/chatml
* Insanity/uncen
* [v000000/NM-12B-Lyris-dev-3](https://huggingface.co/v000000/NM-12B-Lyris-dev-3)
* Insanity/conv
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
dtype: bfloat16
merge_method: della_linear
parameters:
epsilon: 0.04
int8_mask: 1.0
lambda: 1.05
normalize: 0.0
rescale: 1.0
slices:
- sources:
- layer_range: [0, 40]
model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1
parameters:
density: [0.45, 0.55, 0.45, 0.55, 0.45]
weight: [0.2, 0.3, 0.2, 0.3, 0.2]
- layer_range: [0, 40]
model: Insanity/chatml
parameters:
density: [0.6, 0.4, 0.5, 0.4, 0.6]
weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
- layer_range: [0, 40]
model: Insanity/uncen
parameters:
density: [0.6, 0.4, 0.5, 0.4, 0.6]
weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
- layer_range: [0, 40]
model: Insanity/conv
parameters:
density: [0.7]
weight: [0.208, 0.139, 0.139, 0.139, 0.208]
- layer_range: [0, 40]
model: v000000/NM-12B-Lyris-dev-3
parameters:
density: [0.45, 0.55, 0.45, 0.55, 0.45]
weight: [0.33]
tokenizer_source: base
```
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