---

library_name: transformers

license: mit

base_model:

• Mia-AiLab/Qwable-3.6-27b

tags:

• multimodal
• vision-language
• audio
• agent
• video-understanding
• long-context
• abliterated
• uncensored
• GGUF
• MTP

---

huihui-ai/Huihui-Qwable-3.6-27b-abliterated-MTP-GGUF

This is an uncensored version of Mia-AiLab/Qwable-3.6-27b created with abliteration.

This ablation was performed entirely using llama.cpp's GGUF model, without relying on Transformers,

For the specific ablation method, please refer to cvector-generator.

GGUF

Please use the latest version of ggml-org/llama.cpp

The version we tested is ggml-org/llama.cpp-b9190

apt-get update
apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
git clone https://github.com/ggml-org/llama.cpp
cmake llama.cpp -B llama.cpp/build \
    -DBUILD_SHARED_LIBS=OFF -DGGML_CUDA=ON
cmake --build llama.cpp/build --config Release -j --clean-first --target llama-cli llama-mtmd-cli llama-server llama-gguf-split
cp llama.cpp/build/bin/llama-* llama.cpp

./llama.cpp/llama-cli \
    -m huihui-ai/Huihui-Qwable-3.6-27b-abliterated-MTP-GGUF/Huihui-Qwen3.6-27B-abliterated-ggml-model-Q4_K.gguf \
    -ngl 99 -c 262144 -fa on -np 1 \
    --spec-type draft-mtp --spec-draft-n-max 6

Files

| File | Size |out (ffn_down/ssm_out/attn_output) | Everything else |

|---|---|---|---|

| Huihui-Qwable-3.6-27b-abliterated-Q4_K_M_Q8.gguf | 19.1 GiB | (ffn_down/ssm_out/attn_output) (Q8_0) | (ffn_gate/ssm_out/ffn_up) (Q4_K), (attn_v/attn_qkv) (Q6_K), MTP(blk.64.) |

| Huihui-Qwable-3.6-27b-abliterated-Q4_K_M_F16.gguf | 25.8 GiB | (ffn_down/ssm_out/attn_output) (F16) | (ffn_gate/ssm_out/ffn_up) (Q4_K), (attn_v/attn_qkv) (Q6_K), MTP(blk.64.) |

| Huihui-Qwable-3.6-27b-abliterated-F16.gguf | 50.9 GiB | (ffn_down/ssm_out/attn_output) (F16) | (ffn_gate/ssm_out/ffn_up) (F16) , (attn_v/attn_qkv) (F16), MTP(blk.64.) |

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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