---
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
```