QwQ-32B-Coder-Fusion-9010 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 9:1 ratio, with 90% of the weights from the abliterated QwQ-32B-Preview-abliterated and 10% 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.
Now the effective ratios are 9:1, 8:2, and 7:3. Any other ratios (6:4,5:5) would result in mixed or unclear expressions.

Please refer to the mixed source code.

Model Details

Base Models:
- huihui-ai/QwQ-32B-Preview-abliterated (90%)
- huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated (10%)
Model Size: 32B parameters
Architecture: Qwen 2.5
Mixing Ratio: 9:1 (QwQ-32B-Preview-abliterated:Qwen2.5-Coder-32B-Instruct-abliterated)

ollama

You can use huihui_ai/qwq-fusion directly,

ollama run huihui_ai/qwq-fusion

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