Huihui-Qwen3-4B-abliterated-v2
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探索 AI 模型 84999
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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查看详情 ↗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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查看详情 ↗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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查看详情 ↗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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查看详情 ↗Huihui-Qwen3.5-35B-A3B-abliterated
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查看详情 ↗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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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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查看详情 ↗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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查看详情 ↗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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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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查看详情 ↗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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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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查看详情 ↗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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查看详情 ↗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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价格待核验多模态与渠道费用须分别核对
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查看详情 ↗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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查看详情 ↗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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗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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价格待核验多模态与渠道费用须分别核对
查看详情 ↗暂未找到匹配模型
可以调整厂商、分类或输入输出条件；新模型正持续收录。
COST EXPLORER
好模型，也要算好成本。
调整月度 Token 用量，直观比较不同模型的预估 API 开支。
1 M = 100 万 Token · 美元计价
仅比较同一渠道的基础文本 Token 报价
仅比较同一渠道的基础文本 Token 报价
使用已采集且单位可比的 USD / 百万 Token 渠道报价。报价为采集时快照；不计缓存优惠、阶梯价、推理额外输出与税费，请以来源的当前报价为准。
MODEL HANDBOOK
读懂模型，再做选择
API 价格应该怎么比较？+
先区分输入、输出和缓存价格，再使用同一任务和用量估算总费用。图像、音频和视频可能按张、时长或分辨率计费，不能直接与 Token 单价比较。
开放权重，就代表可以免费商用吗？+
不一定。必须逐一核对具体模型版本的许可证、商用限制及使用政策。自己部署还需要考虑显存、推理资源和运维费用。
排行榜第一，就是最适合我的模型吗？+
榜单取决于测试任务、版本与评测方法。建议用实际业务样本比较准确性、时延、稳定性和成本，再选择模型。