---
base_model:
- Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss
- jondurbin/bagel-dpo-8x7b-v0.2
- NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss
license: cc-by-nc-4.0
tags:
- not-for-all-audiences
- nsfw
- mergekit
- merge

---
# BagelMix

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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [jondurbin/bagel-dpo-8x7b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-8x7b-v0.2) as a base.

### Models Merged

The following models were included in the merge:
* [Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss](https://huggingface.co/Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss)
* [NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss](https://huggingface.co/NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: jondurbin/bagel-dpo-8x7b-v0.2
    parameters:
      density: 1.0
      weight: 1.0
  - model: Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss
    parameters:
      density: 0.5
      weight: [0.33, 0.4, 0.33]
  - model: NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss
    parameters:
      density: [0.33, 0.45, 0.66]
      weight: 0.66
merge_method: dare_ties
base_model: jondurbin/bagel-dpo-8x7b-v0.2
parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source : union
```
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