---
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. For purposes other than RP, use quantizations done on a more general dataset.

Requires ExllamaV2 version 0.0.11 and up.

Original model link: [notstoic/Nous-Hermes-2-Mixtruct-v0.1-8x7B-DPO-DARE_TIES](https://huggingface.co/notstoic/Nous-Hermes-2-Mixtruct-v0.1-8x7B-DPO-DARE_TIES)

Original model README below.

***

# Nous-Hermes-2-Mixtruct-v0.1-8x7B-DPO-DARE_TIES

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details

An experimental merge.

Prompt format: ChatML or Mixtral-8x7B-Instruct-v0.1

### 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 ./models/Mixtral-8x7B-v0.1 as a base.

### Models Merged

The following models were included in the merge:
* [Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
* [Nous-Hermes-2-Mixtral-8x7B-DPO](https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: ./models/Mixtral-8x7B-Instruct-v0.1
    parameters:
      density: 0.5
      weight: 1.0
  - model: ./models/Nous-Hermes-2-Mixtral-8x7B-DPO
    parameters:
      density: 0.5
      weight: 0.5
merge_method: dare_ties
base_model: ./models/Mixtral-8x7B-v0.1
parameters:
  #normalize: false
  #int8_mask: true
dtype: bfloat16
```