---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
base_model:
- huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated
- huihui-ai/QwQ-32B-Preview-abliterated
- huihui-ai/Sky-T1-32B-Preview-abliterated
tags:
- chat
- abliterated
- uncensored
- Fusion
library_name: transformers
---

# huihui-ai/DeepSeekR1-QwQ-SkyT1-32B-Fusion-715


## Overview
`DeepSeekR1-QwQ-SkyT1-32B-Fusion-715` is a mixed model that combines the strengths of three powerful Qwen-based models: 
[huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated](https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated),
[huihui-ai/QwQ-32B-Preview-abliterated](https://huggingface.co/huihui-ai/QwQ-32B-Preview-abliterated) and 
[huihui-ai/Sky-T1-32B-Preview-abliterated](https://huggingface.co/huihui-ai/Sky-T1-32B-Preview-abliterated) 

**Although it's a simple mix, the model is usable, and no gibberish has appeared**.

This is a test. I test the [80:10:10](https://huggingface.co/huihui-ai/DeepSeekR1-QwQ-SkyT1-32B-Fusion-811), [70:15:15](https://huggingface.co/huihui-ai/DeepSeekR1-QwQ-SkyT1-32B-Fusion-715)  and 
[60:20:20](https://huggingface.co/huihui-ai/DeepSeekR1-QwQ-SkyT1-32B-Fusion-622) ratios separately to see how much impact they have on the model.


## Model Details
- **Base Models:**
  - [huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated](https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated) (70%)
  - [huihui-ai/QwQ-32B-Preview-abliterated](https://huggingface.co/huihui-ai/QwQ-32B-Preview-abliterated) (15%)
  - [huihui-ai/Sky-T1-32B-Preview-abliterated](https://huggingface.co/huihui-ai/Sky-T1-32B-Preview-abliterated) (15%)
- **Model Size:** 32B parameters
- **Architecture:** Qwen 2.5

## Use with ollama

You can use [huihui_ai/deepseekr1-qwq-skyt1-fusion](https://ollama.com/huihui_ai/deepseekr1-qwq-skyt1-fusion) directly
```
ollama run huihui_ai/deepseekr1-qwq-skyt1-fusion:715
```