---
base_model:
- Kaoeiri/Qwenwify-32B-v3
- allura-org/Qwen2.5-32b-RP-Ink
- Dans-DiscountModels/Qwen2.5-32B-ChatML
- Qwen/QwQ-32B-Preview
- Saxo/Linkbricks-Horizon-AI-Japanese-Base-32B
- OpenBuddy/openbuddy-qwq-32b-v24.2-200k
- Sao10K/32B-Qwen2.5-Kunou-v1
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 [Qwen/QwQ-32B-Preview](https://huggingface.co/Qwen/QwQ-32B-Preview) as a base.

### Models Merged

The following models were included in the merge:
* [Kaoeiri/Qwenwify-32B-v3](https://huggingface.co/Kaoeiri/Qwenwify-32B-v3)
* [allura-org/Qwen2.5-32b-RP-Ink](https://huggingface.co/allura-org/Qwen2.5-32b-RP-Ink)
* [Dans-DiscountModels/Qwen2.5-32B-ChatML](https://huggingface.co/Dans-DiscountModels/Qwen2.5-32B-ChatML)
* [Saxo/Linkbricks-Horizon-AI-Japanese-Base-32B](https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Japanese-Base-32B)
* [OpenBuddy/openbuddy-qwq-32b-v24.2-200k](https://huggingface.co/OpenBuddy/openbuddy-qwq-32b-v24.2-200k)
* [Sao10K/32B-Qwen2.5-Kunou-v1](https://huggingface.co/Sao10K/32B-Qwen2.5-Kunou-v1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: Kaoeiri/Qwenwify-32B-v3 # backbone model, used for fusion
    parameters:
      weight: 1.0
      density: 0.92
  - model: Sao10K/32B-Qwen2.5-Kunou-v1 # RP and synthetic storywriting
    parameters:
      weight: 0.30
      density: 0.75
  - model: Dans-DiscountModels/Qwen2.5-32B-ChatML # logic and chatting focus
    parameters:
      weight: 0.15
      density: 0.85
  - model: OpenBuddy/openbuddy-qwq-32b-v24.2-200k # Chinese-heavy datasets, raw, diverse
    parameters:
      weight: 0.25
      density: 0.88
  - model: Saxo/Linkbricks-Horizon-AI-Japanese-Base-32B # Japanese-focused, base model
    parameters:
      weight: 0.20
      density: 0.82
  - model: allura-org/Qwen2.5-32b-RP-Ink # RP-focused, unique character traits
    parameters:
      weight: 0.28
      density: 0.78

merge_method: dare_ties
base_model: Qwen/QwQ-32B-Preview
parameters:
  density: 0.90
  epsilon: 0.05
  lambda: 1.35
random_seed: 42
dtype: bfloat16
tokenizer_source: union

```