---
base_model:
- Qwen/Qwen2.5-Coder-32B-Instruct
- NovaSky-AI/Sky-T1-32B-Flash
- Qwen/Qwen2.5-Coder-32B
library_name: transformers
tags:
- mergekit
- merge
- qwen2
license: apache-2.0
---
# tomasmcm/sky-t1-coder-32b-flash

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

I wanted to see if it would be possible to improve on [FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview](https://huggingface.co/FuseAI/FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview) and [CoderO1-DeepSeekR1-Coder-32B-Preview](https://huggingface.co/RDson/CoderO1-DeepSeekR1-Coder-32B-Preview) by using [Sky-T1-32B-Flash](https://huggingface.co/NovaSky-AI/Sky-T1-32B-Flash) as the reasoning model that is merged with [Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct) instead of DeepSeek-R1-Distill-Qwen-32B. The idea is to have a strong coder model that can reason but without very long reasoning chains (hence using the Flash model).

GGUF files available at [mradermacher/sky-t1-coder-32b-flash-GGUF](https://huggingface.co/mradermacher/sky-t1-coder-32b-flash-GGUF) (thank you!)

## Merge Details
### Merge Method

This model was merged using the [SCE](https://arxiv.org/abs/2408.07990) merge method using [Qwen/Qwen2.5-Coder-32B](https://huggingface.co/Qwen/Qwen2.5-Coder-32B) as a base.

### Models Merged

The following models were included in the merge:
* [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct)
* [NovaSky-AI/Sky-T1-32B-Flash](https://huggingface.co/NovaSky-AI/Sky-T1-32B-Flash)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  # Pivot model
  - model: Qwen/Qwen2.5-Coder-32B
  # Target models
  - model: Qwen/Qwen2.5-Coder-32B-Instruct
  - model: NovaSky-AI/Sky-T1-32B-Flash
merge_method: sce
base_model: Qwen/Qwen2.5-Coder-32B
parameters:
  select_topk: 1.0
dtype: bfloat16
```