---
base_model:
- NovaSky-AI/Sky-T1-32B-Flash
- deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
- Qwen/QwQ-32B
- Qwen/Qwen2.5-32B
library_name: transformers
tags:
- mergekit
- merge

---
# QwQ-DeepSeek-R1-SkyT1-Flash-Light-32B

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 sce merge method using [Qwen/Qwen2.5-32B](https://huggingface.co/Qwen/Qwen2.5-32B) as a base.

### Models Merged

The following models were included in the merge:
* [NovaSky-AI/Sky-T1-32B-Flash](https://huggingface.co/NovaSky-AI/Sky-T1-32B-Flash)
* [deepseek-ai/DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B)
* [Qwen/QwQ-32B](https://huggingface.co/Qwen/QwQ-32B)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
merge_method: sce
base_model: Qwen/Qwen2.5-32B  # Pivot model (zero weight)
dtype: bfloat16
parameters:
  select_topk: 1.0
models:
  # Pivot model (explicitly zero-weighted)
  - model: Qwen/Qwen2.5-32B
    parameters:
      weight: 0.0  # Zero contribution to merged weights
      # sparsity: 0.0  # Optional: enforce sparsity if needed
  # Target models with assigned weights
  - model: Qwen/QwQ-32B
    parameters:
      weight: 0.75  # Dominant contributor
  - model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
    parameters:
      weight: 0.10  # Minimal contribution
  - model: NovaSky-AI/Sky-T1-32B-Flash
    parameters:
      weight: 0.15   # Moderate contribution

```