M-MERGE2 / README.md
Tarek07's picture
Upload folder using huggingface_hub
8e52281 verified
---
base_model:
- Doctor-Shotgun/L3.3-70B-Magnum-v4-SE
- Sao10K/L3.1-70B-Hanami-x1
- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
- ReadyArt/Forgotten-Safeword-70B-3.6
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 [Linear DELLA](https://arxiv.org/abs/2406.11617) merge method using [ReadyArt/Forgotten-Safeword-70B-3.6](https://huggingface.co/ReadyArt/Forgotten-Safeword-70B-3.6) as a base.
### Models Merged
The following models were included in the merge:
* [Doctor-Shotgun/L3.3-70B-Magnum-v4-SE](https://huggingface.co/Doctor-Shotgun/L3.3-70B-Magnum-v4-SE)
* [Sao10K/L3.1-70B-Hanami-x1](https://huggingface.co/Sao10K/L3.1-70B-Hanami-x1)
* [EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Sao10K/L3.1-70B-Hanami-x1
parameters:
weight: 0.25
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
parameters:
weight: 0.25
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: Doctor-Shotgun/L3.3-70B-Magnum-v4-SE
parameters:
weight: 0.2
density: 0.7
epsilon: 0.2
lambda: 1.1
- model: ReadyArt/Forgotten-Safeword-70B-3.6
parameters:
weight: 0.3
density: 0.7
epsilon: 0.1
lambda: 1
base_model: ReadyArt/Forgotten-Safeword-70B-3.6
merge_method: della_linear
parameters:
normalize: false
int8_mask: true
chat_template: llama3
tokenizer:
source: union
dtype: bfloat16
```