README.md

---
base_model:
- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
- nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
- Sao10K/32B-Qwen2.5-Kunou-v1
- Rombo-Org/Rombo-LLM-V2.5-Qwen-32b
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

![image/webp](https://cdn-uploads.huggingface.co/production/uploads/66c1cc08453a7ef6c5fe657a/UGFsqkgEvdomxSZV4qphs.webp)

*The Blue Thunder*

### Merge Method

This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Sao10K/32B-Qwen2.5-Kunou-v1](https://huggingface.co/Sao10K/32B-Qwen2.5-Kunou-v1) as a base.

### Models Merged

The following models were included in the merge:
* [EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2)
* [nbeerbower/Qwen2.5-Gutenberg-Doppel-32B](https://huggingface.co/nbeerbower/Qwen2.5-Gutenberg-Doppel-32B)
* [Rombo-Org/Rombo-LLM-V2.5-Qwen-32b](https://huggingface.co/Rombo-Org/Rombo-LLM-V2.5-Qwen-32b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: nbeerbower/Qwen2.5-Gutenberg-Doppel-32B
    parameters:
      density: 0.75
      weight: 0.75
  - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
    parameters:
      density: 0.5
      weight: 0.5
  - model: Sao10K/32B-Qwen2.5-Kunou-v1
    parameters:
      density: 0.8
      weight: 1
  - model: Rombo-Org/Rombo-LLM-V2.5-Qwen-32b
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: Sao10K/32B-Qwen2.5-Kunou-v1
parameters:
  normalize: false
  int8_mask: true
dtype: float16
```