README.md

metadata

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

merge

This is a merge of pre-trained language models created using mergekit.

I wanted to see if it would be possible to improve on FuseO1-DeepSeekR1-Qwen2.5-Coder-32B-Preview and CoderO1-DeepSeekR1-Coder-32B-Preview by using Sky-T1-32B-Flash as the reasoning model that is merged with 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).

Merge Details

Merge Method

This model was merged using the SCE merge method using Qwen/Qwen2.5-Coder-32B as a base.

Models Merged

The following models were included in the merge:

• Qwen/Qwen2.5-Coder-32B-Instruct
• NovaSky-AI/Sky-T1-32B-Flash

Configuration

The following YAML configuration was used to produce this model:

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