mergekit merge region:us
---
base_model: []
tags:
- mergekit
- merge

---

Quantized using 200 samples of 8192 tokens from an RP-oriented [PIPPA](https://huggingface.co/datasets/royallab/PIPPA-cleaned) dataset.

Branches:
- `main` -- `measurement.json`
- `3.5b6h` -- 3.5bpw, 6bit lm_head
- `6b6h` -- 6bpw, 6bit lm_head


Requires ExllamaV2 version 0.0.12 and up.

Original model link: [rAIfle/Sloppier-Wingman-Alternative-8x7B-hf](https://huggingface.co/rAIfle/Sloppier-Wingman-Alternative-8x7B-hf)

Original model README below.

***

# Sloppier-Wingman-Alternative-8x7B-hf

![Sloppier-Nasty-Wingman](https://files.catbox.moe/i2aigj.png)

Alternative to [rAIfle/Sloppy-Wingman-8x7B-hf](https://huggingface.co/rAIfle/Sloppy-Wingman-8x7B-hf).
Second part of the merge has a bit of difference compared to the other one. I, personally, still prefer ChatML on this one, but Alpaca and/or Mistral-formats ought to work regardless.

```yaml
models:
  - model: mistralai/Mixtral-8x7B-v0.1+retrieval-bar/Mixtral-8x7B-v0.1_case-briefs
    parameters:
      weight: 0.33
  - model: mistralai/Mixtral-8x7B-v0.1+wandb/Mixtral-8x7b-Remixtral
    parameters:
      weight: 0.33
merge_method: task_arithmetic
base_model: mistralai/Mixtral-8x7B-v0.1
dtype: float16
```
and
```yaml
models:
  - model: mistralai/Mixtral-8x7B-Instruct-v0.1+/ai/LLM/tmp/pefts/daybreak-peft/mixtral-8x7b
    parameters:
      weight: 0.85
  - model: mistralai/Mixtral-8x7B-Instruct-v0.1+SeanWu25/Mixtral_8x7b_Medicine
    parameters:
      weight: 0.33
  - model: notstoic/Nous-Hermes-2-Mixtruct-v0.1-8x7B-DPO-DARE_TIES
    parameters:
      weight: 0.25
merge_method: task_arithmetic
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
dtype: float16
```

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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* ./02.5-pal-instruct
* ./01-pal-base

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: ./01-pal-base
  - model: ./02.5-pal-instruct
merge_method: slerp
base_model: ./01-pal-base
parameters:
  t:
    - value: 0.66
dtype: float16

```
