---
license: apache-2.0
language:
- en
tags:
- not-for-all-audiences
---
## Silly RP 7B
First time with merges really, basically experimenting and seeing what works. Seems solid in my tests so far, but no guarantees on quality – give it a shot and share your feedback! Eager to hear how others like it. Honestly, I'm still learning the ropes, like the benefits of different merge methods :P

## Extra info
- Chat template: ChatML

---
base_model:
- tavtav/eros-7b-test
- NousResearch/Nous-Hermes-2-Mistral-7B-DPO
- maywell/Synatra-7B-v0.3-RP
- NeverSleep/Noromaid-7B-0.4-DPO
- cogbuji/Mr-Grammatology-clinical-problems-Mistral-7B-0.5
library_name: transformers
tags:
- mergekit
- merge

---
# output

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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [NeverSleep/Noromaid-7B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO) as a base.

### Models Merged

The following models were included in the merge:
* [tavtav/eros-7b-test](https://huggingface.co/tavtav/eros-7b-test)
* [NousResearch/Nous-Hermes-2-Mistral-7B-DPO](https://huggingface.co/NousResearch/Nous-Hermes-2-Mistral-7B-DPO)
* [maywell/Synatra-7B-v0.3-RP](https://huggingface.co/maywell/Synatra-7B-v0.3-RP)
* [cogbuji/Mr-Grammatology-clinical-problems-Mistral-7B-0.5](https://huggingface.co/cogbuji/Mr-Grammatology-clinical-problems-Mistral-7B-0.5)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: NeverSleep/Noromaid-7B-0.4-DPO
models:
      - model: maywell/Synatra-7B-v0.3-RP
        parameters:
          weight: 0.2
      - model: tavtav/eros-7b-test
        parameters:
          weight: 0.2
      - model: cogbuji/Mr-Grammatology-clinical-problems-Mistral-7B-0.5
        parameters:
          weight: 0.2
      - model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO
        parameters:
          weight: 0.2
merge_method: task_arithmetic
parameters:
      weight: 0.17
dtype: float16
random_seed: 694201337567099116663322537

```