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README.md
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[huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated](https://huggingface.co/huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated).
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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.
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**Although it's a simple mix, the model is usable, and no gibberish has appeared**.
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This is an experiment.
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## Model Details
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- **Base Models:**
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[huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated](https://huggingface.co/huihui-ai/Qwen2.5-Coder-32B-Instruct-abliterated).
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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.
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**Although it's a simple mix, the model is usable, and no gibberish has appeared**.
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This is an experiment. I test the [9:1](https://huggingface.co/huihui-ai/QwQ-32B-Coder-Fusion-9010),
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[8:2](https://huggingface.co/huihui-ai/QwQ-32B-Coder-Fusion-8020),
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and [7:3](https://huggingface.co/huihui-ai/QwQ-32B-Coder-Fusion-7030) ratios separately to see how much impact they have on the model.
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## Model Details
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- **Base Models:**
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