---
base_model:
- TareksLab/M-MERGE4
- TareksLab/M-MERGE3
- TareksLab/M-MERGE2
- TareksLab/M-BASE-SCE
- TareksLab/M-MERGE1
library_name: transformers
tags:
- mergekit
- merge

---
# LegionDL

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 [Linear DELLA](https://arxiv.org/abs/2406.11617) merge method using [TareksLab/M-BASE-SCE](https://huggingface.co/TareksLab/M-BASE-SCE) as a base.

### Models Merged

The following models were included in the merge:
* [TareksLab/M-MERGE4](https://huggingface.co/TareksLab/M-MERGE4)
* [TareksLab/M-MERGE3](https://huggingface.co/TareksLab/M-MERGE3)
* [TareksLab/M-MERGE2](https://huggingface.co/TareksLab/M-MERGE2)
* [TareksLab/M-MERGE1](https://huggingface.co/TareksLab/M-MERGE1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: TareksLab/M-MERGE4
    parameters:
      weight: 0.15
      density: 0.7
      epsilon: 0.2
      lambda: 1.1
  - model: TareksLab/M-MERGE3
    parameters:
      weight: 0.20
      density: 0.7
      epsilon: 0.2
      lambda: 1.1
  - model: TareksLab/M-MERGE2
    parameters:
      weight: 0.20
      density: 0.7
      epsilon: 0.2
      lambda: 1.1
  - model: TareksLab/M-MERGE1
    parameters:
      weight: 0.25
      density: 0.7
      epsilon: 0.2
      lambda: 1.1
  - model: TareksLab/M-BASE-SCE
    parameters:
      weight: 0.20
      density: 0.7
      epsilon: 0.1
      lambda: 1.0
merge_method: della_linear
base_model: TareksLab/M-BASE-SCE
parameters:
  normalize: false
  int8_mask: true
dtype: bfloat16
chat_template: llama3
tokenizer:
 source: TareksLab/M-TOKENIZER-SCE
```