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Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF

HF 源站

huihui-ai/Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF is an uncensored open-source model hosted on Hugging Face.

Text GenerationUnsloth DesktopGGUFLicense: mitabliterateduncensoredhuihuiquantizeddeepseekdeepseek-v4deepseek-v4-flash-0731moemixture-of-experts2-bit4-bitiq2_xxsq2_kq4_kds4apple-siliconmetalimatrixconversational
README.md说明 / 使用方法

license: mit library_name: gguf pipeline_tag: text-generation base_model_relation: quantized quantized_by: antirez base_model:

  • deepseek-ai/DeepSeek-V4-Flash-0731 tags:

  • abliterated

  • uncensored

  • GGUF

  • huihui

  • quantized

  • deepseek

  • deepseek-v4

  • deepseek-v4-flash-0731

  • moe

  • mixture-of-experts

  • 2-bit

  • 4-bit

  • iq2_xxs

  • q2_k

  • q4_k

  • ds4

  • apple-silicon

  • metal

  • unsloth extra_gated_prompt: >- 使用警告

    “敏感或争议性内容风险”：该模型的安全过滤机制已大幅削减，可能会生成敏感、具争议性或不当的内容。用户应保持谨慎，并严格审查生成的内容。

    “不适合所有受众”：由于内容过滤受限，该模型的输出可能不适合公共场合、未成年人或对安全性要求极高的应用场景。

    “法律与伦理责任”：用户必须确保自身使用符合当地法律法规及道德伦理标准。生成的内容可能带有法律或道德风险，用户需对任何后果承担全部责任。

    “研究与实验用途”：建议仅在研究、测试或受控环境中使用该模型，避免直接用于生产环境或面向公众的商业应用。

    “监控与审查建议”：强烈建议用户对模型输出进行实时监控，并在必要时进行人工审核，以防止不良内容的传播。

    “无默认安全保障”：与标准模型不同，该模型未经严格的安全优化。huihui.ai 对因使用该模型而产生的任何后果概不负责。

huihui-ai/Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF

这是 deepseek-ai/DeepSeek-V4-Flash-0731 的无审查（uncensored）版本，通过 abliteration（消除拒绝响应）技术制作（详见 remove-refusals-with-transformers 了解更多详情）。 这是一个粗略的概念验证实现，旨在不使用 TransformerLens 的情况下消除 LLM 模型的拒答机制。

注意：这些 GGUF 文件支持 llama.cpp 与 ds4，且所有专家模块（expert modules）均未被削减/修改。

Q4 使用了比 Q2 更强的消除强度（ablation intensity），因此拒答率更低。

GGUF 文件

GGUF 文件来源于 antirez/deepseek-v4-gguf。

llama.cpp

请使用最新版本的 llama.cpp：

llama-cli -m huihui-ai/Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF/DeepSeek-V4-Flash-Q2-0731.gguf -c 262144

DSpark

我们添加了两种类型的 DSpark 文件：一种用于消除前（pre-ablation），一种用于消除后（post-ablation）。这些文件来源于 unsloth/DeepSeek-V4-Flash-0731-GGUF/dspark。

请使用最新版本的 llama.cpp：

dspark

dspark-abliterated

ds4

请使用最新版本的 ds4：

单 GPU

export CUDA_VISIBLE_DEVICES=0
./ds4 -m huihui-ai/Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF/DeepSeek-V4-Flash-Q2-0731.gguf --ctx 32768

多 GPU

export CUDA_VISIBLE_DEVICES=0,1
./ds4 -m huihui-ai/Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF/DeepSeek-V4-Flash-Q2_K-0731.gguf --gpu-devices 0,1 --ctx 32768

使用警告

  • 敏感或争议性内容风险：该模型的安全过滤机制已大幅削减，可能会生成敏感、具争议性或不当的内容。用户应保持谨慎，并严格审查生成的内容。

  • 不适合所有受众：由于内容过滤受限，该模型的输出可能不适合公共场合、未成年人或对安全性要求极高的应用场景。

  • 法律与伦理责任：用户必须确保自身使用符合当地法律法规及道德伦理标准。生成的内容可能带有法律或道德风险，用户需对任何后果承担全部责任。

  • 研究与实验用途：建议仅在研究、测试或受控环境中使用该模型，避免直接用于生产环境或面向公众的商业应用。

  • 监控与审查建议：强烈建议用户对模型输出进行实时监控，并在必要时进行人工审核，以防止不良内容的传播。

  • 无默认安全保障：与标准模型不同，该模型未经严格的安全优化。huihui.ai 对因使用该模型而产生的任何后果概不负责。

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源站原文

license: mit library_name: gguf pipeline_tag: text-generation base_model_relation: quantized quantized_by: antirez base_model:

  • deepseek-ai/DeepSeek-V4-Flash-0731 tags:

  • abliterated

  • uncensored

  • GGUF

  • huihui

  • quantized

  • deepseek

  • deepseek-v4

  • deepseek-v4-flash-0731

  • moe

  • mixture-of-experts

  • 2-bit

  • 4-bit

  • iq2_xxs

  • q2_k

  • q4_k

  • ds4

  • apple-silicon

  • metal

  • unsloth extra_gated_prompt: >- Usage Warnings

    “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.

    “Not Suitable for All Audiences:“ Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

    “Legal and Ethical Responsibilities“: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

    “Research and Experimental Use“: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

    “Monitoring and Review Recommendations“: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

    “No Default Safety Guarantees“: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

huihui-ai/Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF

This is an uncensored version of deepseek-ai/DeepSeek-V4-Flash-0731 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.

Note These GGUFs support llama.cpp and ds4 and all expert modules were not ablated.

Q4 used a stronger ablation intensity than Q2, so the rejection rate was smaller.

GGUF Files

The GGUF Files comes from antirez/deepseek-v4-gguf

llama.cpp

Use the latest llama.cpp,

llama-cli -m huihui-ai/Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF/DeepSeek-V4-Flash-Q2-0731.gguf -c 262144

DSpark

We added two types of DSpark files: one for pre-ablation and one for post-ablation. The files are sourced from unsloth/DeepSeek-V4-Flash-0731-GGUF/dspark.

Use the latest llama.cpp,

dspark

dspark-abliterated

ds4

Use the latest ds4,

single-GPU

export CUDA_VISIBLE_DEVICES=0
./ds4 -m huihui-ai/Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF/DeepSeek-V4-Flash-Q2-0731.gguf --ctx 32768

multi-GPU

export CUDA_VISIBLE_DEVICES=0,1
./ds4 -m huihui-ai/Huihui-DeepSeek-V4-Flash-0731-abliterated-GGUF/DeepSeek-V4-Flash-Q2_K-0731.gguf --gpu-devices 0,1 --ctx 32768

Usage Warnings

  • 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.

  • Not Suitable for All Audiences: Due to limited content filtering, the model’s outputs may be inappropriate for public settings, underage users, or applications requiring high security.

  • Legal and Ethical Responsibilities: Users must ensure their usage complies with local laws and ethical standards. Generated content may carry legal or ethical risks, and users are solely responsible for any consequences.

  • Research and Experimental Use: It is recommended to use this model for research, testing, or controlled environments, avoiding direct use in production or public-facing commercial applications.

  • Monitoring and Review Recommendations: Users are strongly advised to monitor model outputs in real-time and conduct manual reviews when necessary to prevent the dissemination of inappropriate content.

  • No Default Safety Guarantees: Unlike standard models, this model has not undergone rigorous safety optimization. huihui.ai bears no responsibility for any consequences arising from its use.

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来源与版本

作者
huihui-ai
最近更新
未知
最新创建
2026/08/02
HF 趋势
101
数据快照
2026/09/16
版本
未知
许可证
mit