---
base_model:
- nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
- rombodawg/Rombos-LLM-V2.5-Qwen-32b
- ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
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 [DELLA](https://arxiv.org/abs/2406.11617) merge method using [rombodawg/Rombos-LLM-V2.5-Qwen-32b](https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-32b) as a base.

### Models Merged

The following models were included in the merge:
* [nbeerbower/Qwen2.5-Gutenberg-Doppel-32B](https://huggingface.co/nbeerbower/Qwen2.5-Gutenberg-Doppel-32B)
* [ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3](https://huggingface.co/ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3)
* [EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: rombodawg/Rombos-LLM-V2.5-Qwen-32b
parameters:
  int8_mask: true
  rescale: false
  normalize: true
  lambda: 1.04
  epsilon: 0.05
dtype: bfloat16
tokenizer_source: union
merge_method: della
models:
  - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
    parameters:
      weight: [0.40]
      density: [0.53]
  - model: nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
    parameters:
      weight: [0.30]
      density: [0.53]   
  - model: ArliAI/Qwen2.5-32B-ArliAI-RPMax-v1.3
    parameters:
      weight: [0.40]
      density: [0.53]  
```