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 | |
``` | |