---
base_model:
- arcee-ai/Virtuoso-Medium-v2
- crestf411/Q2.5-32B-Slush
- nbeerbower/Dumpling-Qwen2.5-32B
- maldv/Qwenstein2.5-32B-Instruct
- allura-org/Qwen2.5-32b-RP-Ink
library_name: transformers
tags:
- mergekit
- merge

---
# merge

It's noticeably better than Q2.5-Qwetiapin-32B, but I'll leave it as is until arcee-ai releases a 32B R1 distill. (If that will happen though)

## Merge Details
### Merge Method

This model was merged using the [Model Breadcrumbs with TIES](https://arxiv.org/abs/2312.06795) merge method using [arcee-ai/Virtuoso-Medium-v2](https://huggingface.co/arcee-ai/Virtuoso-Medium-v2) as a base.

### Models Merged

The following models were included in the merge:
* [crestf411/Q2.5-32B-Slush](https://huggingface.co/crestf411/Q2.5-32B-Slush)
* [nbeerbower/Dumpling-Qwen2.5-32B](https://huggingface.co/nbeerbower/Dumpling-Qwen2.5-32B)
* [maldv/Qwenstein2.5-32B-Instruct](https://huggingface.co/maldv/Qwenstein2.5-32B-Instruct)
* [allura-org/Qwen2.5-32b-RP-Ink](https://huggingface.co/allura-org/Qwen2.5-32b-RP-Ink)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: arcee-ai/Virtuoso-Medium-v2
  - model: maldv/Qwenstein2.5-32B-Instruct
    parameters:
        density: 0.5
        weight: 0.4
        gamma: 0.03
  - model: allura-org/Qwen2.5-32b-RP-Ink
    parameters:
        density: 0.77
        gamma: 0.007
        weight: 0.07
  - model: nbeerbower/Dumpling-Qwen2.5-32B
    parameters:
        density: 0.88
        gamma: 0.008
        weight: 0.28
  - model: crestf411/Q2.5-32B-Slush
    parameters:
        density: 0.75
        gamma: 0.01
        weight: 0.05
base_model: arcee-ai/Virtuoso-Medium-v2
merge_method: breadcrumbs_ties
parameters:
  int8_mask: true
  rescale: true
  normalize: true
dtype: bfloat16
tokenizer_source: base
```