---
base_model:
- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
- rombodawg/Rombos-Coder-V2.5-Qwen-32b
- Qwen/QwQ-32B-Preview
- rombodawg/Rombos-LLM-V2.5-Qwen-32b
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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/QwQ-32B-Preview](https://huggingface.co/Qwen/QwQ-32B-Preview) 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)
* [rombodawg/Rombos-Coder-V2.5-Qwen-32b](https://huggingface.co/rombodawg/Rombos-Coder-V2.5-Qwen-32b)
* [rombodawg/Rombos-LLM-V2.5-Qwen-32b](https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-32b)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
# QwQ-32B-Preview-Self-instruct-3x-TIES-v1.0

models:
  - model: rombodawg/Rombos-LLM-V2.5-Qwen-32b # Self-instruct fine-tuning on Qwen2.5
    parameters:
      density: 1.0
      weight: 1.0
  - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2 # RP/storywriting specialist model (hopefully correcting some of the known limitations of the base model)
    parameters:
      density: 1.0
      weight: 1.0
  - model: rombodawg/Rombos-Coder-V2.5-Qwen-32b # Self-instruct fine-tuning on Qwen2.5-Coder
    parameters:
      density: 1.0
      weight: 1.0

merge_method: ties
base_model: Qwen/QwQ-32B-Preview # Advanced AI reasoning capabilities
parameters:
  normalize: true
  int8_mask: false
dtype: bfloat16
tokenizer_source: union
```