---
base_model:
- QuietImpostor/Mistral-R1-Preview
- cognitivecomputations/Dolphin3.0-R1-Mistral-24B
- mistralai/Mistral-Small-24B-Instruct-2501
- trashpanda-org/MS-24B-Instruct-Mullein-v0
- ArliAI/Mistral-Small-24B-ArliAI-RPMax-v1.4
- ToastyPigeon/new-ms-rp-test-v0-v2
library_name: transformers
tags:
- mergekit
- merge

---
# merge

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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-Small-24B-Instruct-2501](https://huggingface.co./mistralai/Mistral-Small-24B-Instruct-2501) as a base.

### Models Merged

The following models were included in the merge:
* [QuietImpostor/Mistral-R1-Preview](https://huggingface.co./QuietImpostor/Mistral-R1-Preview)
* [cognitivecomputations/Dolphin3.0-R1-Mistral-24B](https://huggingface.co./cognitivecomputations/Dolphin3.0-R1-Mistral-24B)
* [trashpanda-org/MS-24B-Instruct-Mullein-v0](https://huggingface.co./trashpanda-org/MS-24B-Instruct-Mullein-v0)
* [ArliAI/Mistral-Small-24B-ArliAI-RPMax-v1.4](https://huggingface.co./ArliAI/Mistral-Small-24B-ArliAI-RPMax-v1.4)
* [ToastyPigeon/new-ms-rp-test-v0-v2](https://huggingface.co./ToastyPigeon/new-ms-rp-test-v0-v2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: mistralai/Mistral-Small-24B-Instruct-2501
    parameters:
      density: 0.7
      weight: 0.7
  - model: ArliAI/Mistral-Small-24B-ArliAI-RPMax-v1.4
    parameters:
      density: 0.5
      weight: 0.5 
  - model: trashpanda-org/MS-24B-Instruct-Mullein-v0
    parameters:
      density: 0.4
      weight: 0.5
  - model: cognitivecomputations/Dolphin3.0-R1-Mistral-24B
    parameters:
      density: 0.5
      weight: 0.4
  - model: QuietImpostor/Mistral-R1-Preview
    parameters:
      density: 0.5
      weight: 0.4
  - model: ToastyPigeon/new-ms-rp-test-v0-v2
    parameters:
      density: 0.5
      weight: 0.4
merge_method: ties
base_model: mistralai/Mistral-Small-24B-Instruct-2501
parameters:
  normalize: true
  int8_mask: true
dtype: float16
```