---
base_model:
- Epiculous/Fett-uccine-7B
- eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2
- OpenPipe/mistral-ft-optimized-1227
- ChaoticNeutrals/Eris_7B
library_name: transformers
license: cc-by-nc-4.0
tags:
- mergekit
- merge
language:
- en
pipeline_tag: text-generation
---
# merge

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

## Merge Details
* This model is an attempt at making a smart rp model with the finesse of [Epiculous/Fett-uccine-7B](https://huggingface.co/Epiculous/Fett-uccine-7B).
* From limited testing i've found it to be my favourite of my personal 7B models. It stays pretty coherent at 8k+ ctx.
* I like to use "Alpaca" format with "Universal-Light" for longer messages. Switching to ChatML causes the messages to be much shorter? I haven't a clue why but sometimes it's nice.
* It doesn't seem to show many issues but i'd be willing to try to fix any problems or bugs as it shows some potential. 
### 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 [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co/OpenPipe/mistral-ft-optimized-1227) as a base.

### Models Merged

The following models were included in the merge:
* [Epiculous/Fett-uccine-7B](https://huggingface.co/Epiculous/Fett-uccine-7B)
* [eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2](https://huggingface.co/eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2)
* [ChaoticNeutrals/Eris_7B](https://huggingface.co/ChaoticNeutrals/Eris_7B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: OpenPipe/mistral-ft-optimized-1227
    # No parameters necessary for base model
  - model: Epiculous/Fett-uccine-7B
    parameters:
      density: 0.53
      weight: 0.4
  - model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2
    parameters:
      density: 0.53
      weight: 0.35
  - model: ChaoticNeutrals/Eris_7B
    parameters:
      density: 0.53
      weight: 0.25
merge_method: dare_ties
base_model: OpenPipe/mistral-ft-optimized-1227
parameters:
  int8_mask: true
dtype: bfloat16

```