Huihui-Qwen3-4B-abliterated-v2
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This is an uncensored version of Qwen/Qwen3-4B-Instruct-2507 created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. You can use this model in your applications by loading it with Hugging Face's `transformers` library: If you like it, please click 'like' and follow us for more updates. You can follow x.com/support_huihui to get the latest model information from huihui.ai.
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View details ↗Huihui-Qwen3.5-0.8B-abliterated
huihui-ai基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Huihui-Qwen3.5-27B-abliterated
huihui-aiThis is an uncensored version of Qwen/Qwen3.5-27B created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. Please use the latest version of ollama v0.17.5 You can use huihui_ai/qwen3.5-abliterated directly,
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View details ↗Huihui-Qwen3.5-2B-abliterated
huihui-ai基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Huihui-Qwen3.5-35B-A3B-abliterated
huihui-ai基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Huihui-Qwen3.5-4B-abliterated
huihui-aiThe fine-tuned dataset is a type of dataset that operates in a non-think mode, and it may actually make thinking simpler. After saving the model, the names of some weights have changed, and it no longer contains MTP weights. However, both ollama and llama.cpp can still be used for conversion.
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Huihui-Qwen3.5-9B-abliterated
huihui-aiThis is an uncensored version of Qwen/Qwen3.5-9B created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.
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View details ↗Huihui-Qwen3.6-27B-abliterated
huihui-aiThis is an uncensored version of Qwen/Qwen3.6-27B created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.
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View details ↗This is an uncensored version of Qwen/Qwen3.6-27B created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. Please use the latest version of ggml-org/llama.cpp - **Risk of Sensitive or Controversial Outputs**: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.
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View details ↗Huihui-Qwen3.6-35B-A3B-abliterated
huihui-ai基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗This is an uncensored version of Qwen/Qwen3.6-35B-A3B created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. Please use the latest version of ggml-org/llama.cpp - **Risk of Sensitive or Controversial Outputs**: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗This is an uncensored version of lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. Please use the latest version of ggml-org/llama.cpp - **Risk of Sensitive or Controversial Outputs**: This model’s safety filtering has been significantly reduced, potentially generating sensitive, controversial, or inappropriate content. Users should exercise caution and rigorously review generated outputs.
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View details ↗Huihui-Qwen3.8-27B-abliterated
huihui-aiThis is an uncensored version of Qwen/Qwen3.8-27B created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. Only layers **18 to 51** have been ablated (Previously, The first 15 layers were retained without ablation), while the other layers remain unablated. This helps retain more of the original model’s performance. MTP and visual has not been modified. The first 15 layers were retained without ablation. MTP and visual has not been modified.
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View details ↗Huihui-Qwen3.8-27B-abliterated-GGUF
huihui-aiThis is an uncensored version of Qwen/Qwen3.8-27B created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. The newly added **Huihui-Qwen3.8-27B-abliterated-Underdog-Saluki** series come from ConwayResearch/Underdog-Saluki-27B-1.0 and ukisai/Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF. Only layers **22 to 52 (0-based indexing)** have been ablated, while the other layers remain unablated. It may come with a small disclaimer warning. Due to ConwayResearch/Underdog-Saluki-27B-1.0 not providing an imatrix file, we will attempt to perform ablation by mixing the GGUF weights of Swift-1.5 and ConwayResearch/Underdog-Saluki-27B-1.0.
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗This is an uncensored version of nerkyor/Qwen3.8-27B-Coder390-EfficientThink-Opus5.5-GPT6Astra-Grok4.7-DSV4Pro-K3-SFT-RLOO-MTP-DFlash2 created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. 1. download llama.cpp-b11540 3. llama-imatrix calibration1.txt, calibration2.txt, calibration3.txt come from eaddario/imatrix-calibration
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗This is an uncensored version of Qwen/Qwen3.8-Flash-Next created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. The newly added **unsloth** series come from unsloth/Qwen3.8-Flash-Next-GGUF. This Swift series supports the latest versions of both Strata and llama.cpp.
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View details ↗This is an uncensored version of Qwen/Qwen3.8-Flash-Next created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. We used calibration3.txt to generate imatrix_micro3.gguf, and then based on that produced unsloth-UD-Q4_K_XL-V2, with the PPL value decreasing slightly. The llama.cpp version used for testing is llama.cpp-b11540.
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View details ↗Huihui-Qwen3-8B-abliterated-v2
huihui-aiThis is an uncensored version of Qwen/Qwen3-8B created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens. Ablation was performed using a new and faster method, which yields better results. **Important Note** This version is an improvement over the previous one huihui-ai/Qwen3-8B-abliterated. The ollama version has also been modified.
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