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---
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
```
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