---

license: apache-2.0 language:

• en library_name: transformers pipeline_tag: text-generation base_model:
• empero-ai/Qwythos-9B-Claude-Mythos-5-1M tags:
• qwen3.5
• reasoning
• uncensored
• long-context
• 1M-context
• function-calling
• tool-use
• sft
• full-fine-tune
• cybersecurity
• biomedical
• agentic
• abliterated
• uncensored
• GGUF
• MTP

---

huihui-ai/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-GGUF

This is an uncensored version of empero-ai/Qwythos-9B-Claude-Mythos-5-1M created with abliteration.

Note In non-thinking mode, this model strictly adheres to the first prompt's instructions, delivering only the requested output—whether a translation or a specific format—without any introductory or concluding fluff.

GGUF

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

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-Qwythos-9B-Claude-Mythos-5-1M-abliterated-GGUF/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-Q4_K.gguf \
    -ngl 99 -c 262144 -fa on -np 1 \
    --spec-type draft-mtp --spec-draft-n-max 2

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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