metadata

license: apache-2.0
license_link: https://huggingface.co/huihui-ai/QwQ-32B-Coder-Fusion-7030/blob/main/LICENSE
language:
  - en
pipeline_tag: text-generation
base_model:
  - huihui-ai/QwQ-32B-Preview-abliterated
  - huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated
tags:
  - chat
  - abliterated
  - uncensored
library_name: transformers

huihui-ai/QwQ-32B-Coder-Fusion-7030

Overview

QwQ-32B-Coder-Fusion-78030 is a mixed model that combines the strengths of two powerful Qwen-based models: huihui-ai/QwQ-32B-Preview-abliterated and huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated.
The weights are blended in a 7:3 ratio, with 70% of the weights from QwQ-32B-Preview-abliterated and 30% from the abliterated Qwen2.5-Coder-32B-Instruct-abliterated model. Although it's a simple mix, the model is usable, and no gibberish has appeared. This is an experiment. I test the 9:1, 8:2, and 7:3 ratios separately to see how much impact they have on the model.

Please refer to the mixed source code.

Model Details

Base Models:
- huihui-ai/QwQ-32B-Preview-abliterated (70%)
- huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated (30%)
Model Size: 32B parameters
Architecture: Qwen 2.5
Mixing Ratio: 7:3 (QwQ-32B-Preview-abliterated:Qwen2.5-Coder-32B-Instruct-abliterated)

ollama

You can use huihui_ai/qwq-fusion:32b-7030 directly,

ollama run huihui_ai/qwq-fusion:32b-7030

Other proportions can be obtained by visiting huihui_ai/qwq-fusion.