---
base_model:
- bespokelabs/Bespoke-Stratos-32B
- crestf411/Q2.5-32B-Slush
- nbeerbower/Rombos-EVAGutenberg-TIES-Qwen2.5-32B
- arcee-ai/Virtuoso-Medium-v2
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
# 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 [DELLA](https://arxiv.org/abs/2406.11617) 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:
* [bespokelabs/Bespoke-Stratos-32B](https://huggingface.co/bespokelabs/Bespoke-Stratos-32B)
* [crestf411/Q2.5-32B-Slush](https://huggingface.co/crestf411/Q2.5-32B-Slush)
* [nbeerbower/Rombos-EVAGutenberg-TIES-Qwen2.5-32B](https://huggingface.co/nbeerbower/Rombos-EVAGutenberg-TIES-Qwen2.5-32B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: arcee-ai/Virtuoso-Medium-v2
  - model: nbeerbower/Rombos-EVAGutenberg-TIES-Qwen2.5-32B
    parameters:
      density: 0.604
      weight: 0.312
  - model: bespokelabs/Bespoke-Stratos-32B
    parameters:
      density: 0.702
      weight: 0.255
  - model: crestf411/Q2.5-32B-Slush
    parameters:
      density: 0.608
      weight: 0.152

merge_method: della
base_model: arcee-ai/Virtuoso-Medium-v2
parameters:
  density: 0.56
  epsilon: 0.12
  lambda: 1.0
  normalize: true
  int8_mask: true
dtype: bfloat16
tokenizer_source: base
```