README.md

---
base_model:
- Epiculous/Crimson_Dawn-V0.1
- nbeerbower/mistral-nemo-gutenberg-12B-v3
- Nohobby/YetAnotherMerge-v0.3
library_name: transformers
tags:
- mergekit
- merge

---
# YetAnotherMerge-v0.7a

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 merge method using [Nohobby/YetAnotherMerge-v0.3](https://huggingface.co./Nohobby/YetAnotherMerge-v0.3) as a base.

### Models Merged

The following models were included in the merge:
* [Epiculous/Crimson_Dawn-V0.1](https://huggingface.co./Epiculous/Crimson_Dawn-V0.1)
* [nbeerbower/mistral-nemo-gutenberg-12B-v3](https://huggingface.co./nbeerbower/mistral-nemo-gutenberg-12B-v3)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: Nohobby/YetAnotherMerge-v0.3
parameters:
  int8_mask: true
  rescale: true
  normalize: false
merge_method: della
dtype: bfloat16
models:
  - model: nbeerbower/mistral-nemo-gutenberg-12B-v3
    parameters:
      density: [0.4, 0.5, 0.6, 0.4, 0.6, 0.5, 0.4]
      epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
      lambda: 0.85
      weight: [0.6, 0.5, 0.4, 0.6, 0.4, 0.5, 0.6]
  - model: Epiculous/Crimson_Dawn-V0.1
    parameters:
      density: [0.45, 0.55, 0.45, 0.55, 0.45]
      epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
      lambda: 0.85
      weight: [0.55, 0.45, 0.55, 0.45, 0.55]

```