.ipynb_checkpoints/README-checkpoint.md

---
base_model:
- Sao10K/L3-8B-Stheno-v3.2
- Sao10K/L3-8B-Tamamo-v1
- Sao10K/L3-8B-Lunaris-v1
- Sao10K/L3-8B-Niitama-v1
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 della merge method using [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2) as a base.

### Models Merged

The following models were included in the merge:
* [Sao10K/L3-8B-Tamamo-v1](https://huggingface.co/Sao10K/L3-8B-Tamamo-v1)
* [Sao10K/L3-8B-Lunaris-v1](https://huggingface.co/Sao10K/L3-8B-Lunaris-v1)
* [Sao10K/L3-8B-Niitama-v1](https://huggingface.co/Sao10K/L3-8B-Niitama-v1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: Sao10K/L3-8B-Lunaris-v1
    parameters:
      weight: .35
  - model: Sao10K/L3-8B-Stheno-v3.2
    parameters:
      weight: .2
  - model: Sao10K/L3-8B-Niitama-v1
    parameters:
      weight: .25
  - model: Sao10K/L3-8B-Tamamo-v1
    parameters:
      weight: .2
base_model: Sao10K/L3-8B-Stheno-v3.2
merge_method: della
parameters:
  density: 0.5
  epsilon: 0.1
  lambda: 1.0  
dtype: bfloat16


```