---
base_model:
- AiCloser/Qwen2.5-32B-AGI
- crestf411/Q2.5-32B-Slush
- EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
- rombodawg/Rombos-LLM-V2.5-Qwen-32b
- unsloth/qwen2.5-32b-instruct
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/qwen2.5-32b-instruct](https://huggingface.co/unsloth/qwen2.5-32b-instruct) as a base.

### Models Merged

The following models were included in the merge:
* [AiCloser/Qwen2.5-32B-AGI](https://huggingface.co/AiCloser/Qwen2.5-32B-AGI)
* [crestf411/Q2.5-32B-Slush](https://huggingface.co/crestf411/Q2.5-32B-Slush)
* [EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2)
* [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
models:
  - model: EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2
    parameters:
      weight: 1.0
      density: 0.85
  - model: rombodawg/Rombos-LLM-V2.5-Qwen-32b
    parameters:
      weight: 0.28
      density: 0.75
  - model: crestf411/Q2.5-32B-Slush
    parameters:
      weight: 0.25
      density: 0.74
  - model: AiCloser/Qwen2.5-32B-AGI
    parameters:
      weight: 0.14
      density: 0.66

merge_method: dare_ties
base_model: unsloth/qwen2.5-32b-instruct
parameters:
  density: 0.84
  epsilon: 0.07
  lambda: 1.24
dtype: bfloat16
tokenizer_source: union

```