---
base_model:
- NewEden/nemo-erebus
- nbeerbower/mistral-nemo-gutenberg-12B-v4
- grimjim/mistralai-Mistral-Nemo-Instruct-2407
- nbeerbower/mistral-nemo-bophades-12B
- TheDrummer/UnslopNemo-12B-v4.1
library_name: transformers
tags:
- mergekit
- merge

---
# merge

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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [NewEden/nemo-erebus](https://huggingface.co/NewEden/nemo-erebus) as a base.

### Models Merged

The following models were included in the merge:
* [nbeerbower/mistral-nemo-gutenberg-12B-v4](https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v4)
* [grimjim/mistralai-Mistral-Nemo-Instruct-2407](https://huggingface.co/grimjim/mistralai-Mistral-Nemo-Instruct-2407)
* [nbeerbower/mistral-nemo-bophades-12B](https://huggingface.co/nbeerbower/mistral-nemo-bophades-12B)
* [TheDrummer/UnslopNemo-12B-v4.1](https://huggingface.co/TheDrummer/UnslopNemo-12B-v4.1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: grimjim/mistralai-Mistral-Nemo-Instruct-2407
    parameters: 
      density: 0.2
      weight: 0.23
  - model: nbeerbower/mistral-nemo-bophades-12B
    parameters: 
      density: 0.2
      weight: 0.43
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v4
    parameters:
      density: 0.2
      weight: 0.43
  - model: TheDrummer/UnslopNemo-12B-v4.1
    parameters:
      density: 0.5
      weight: 0.63

merge_method: task_arithmetic
base_model: NewEden/nemo-erebus
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16

layer_parameters:
  - range: [0, 10]
    density_multiplier: 1.2
  - range: [10, 20]
    density_multiplier: 1.0
  - range: [20, 30]
    density_multiplier: 0.8
  - range: [30, 40]
    density_multiplier: 0.6

regularization:
  - method: gradient_penalty
    scale: 0.05
  - method: weight_clipping
    clip_range: [-0.2, 0.2]
  - method: random_noise
    scale: 0.01
  - method: attention_dropout
    scale: 0.1

postprocessing:
  - operation: entropy_regularization
    scale: 0.05
  - operation: non_linear_scaling
    parameters:
      function: tanh
  - operation: sharpening
    intensity: 0.5
  - operation: gaussian_smoothing
    sigma: 1.5
  - operation: normalize
  - operation: dynamic_scaling
    scale_range: [0.8, 1.2]
  - operation: smoothing
    parameters:
      adaptive: true
      range: [0.85, 1.15]
      kernel_size: 5
```