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---
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
```
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