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+ ---
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+ base_model: huihui-ai/Qwen3-14B-abliterated
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+ library_name: transformers
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+ license: apache-2.0
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+ license_link: https://huggingface.co/Qwen/Qwen3-14B/blob/main/LICENSE
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+ pipeline_tag: text-generation
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+ tags:
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+ - chat
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+ - abliterated
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+ - uncensored
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+ - llama-cpp
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+ - gguf-my-repo
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+ extra_gated_prompt: '**Usage Warnings**
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+
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+
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+ “**Risk of Sensitive or Controversial Outputs**“: This model’s safety filtering
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+ has been significantly reduced, potentially generating sensitive, controversial,
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+ or inappropriate content. Users should exercise caution and rigorously review generated
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+ outputs.
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+
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+ “**Not Suitable for All Audiences**:“ Due to limited content filtering, the model’s
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+ outputs may be inappropriate for public settings, underage users, or applications
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+ requiring high security.
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+
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+ “**Legal and Ethical Responsibilities**“: Users must ensure their usage complies
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+ with local laws and ethical standards. Generated content may carry legal or ethical
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+ risks, and users are solely responsible for any consequences.
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+
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+ “**Research and Experimental Use**“: It is recommended to use this model for research,
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+ testing, or controlled environments, avoiding direct use in production or public-facing
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+ commercial applications.
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+
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+ “**Monitoring and Review Recommendations**“: Users are strongly advised to monitor
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+ model outputs in real-time and conduct manual reviews when necessary to prevent
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+ the dissemination of inappropriate content.
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+
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+ “**No Default Safety Guarantees**“: Unlike standard models, this model has not undergone
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+ rigorous safety optimization. huihui.ai bears no responsibility for any consequences
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+ arising from its use.'
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+ ---
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+
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+ # BenevolenceMessiah/Qwen3-14B-abliterated-Q8_0-GGUF
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+ This model was converted to GGUF format from [`huihui-ai/Qwen3-14B-abliterated`](https://huggingface.co/huihui-ai/Qwen3-14B-abliterated) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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+ Refer to the [original model card](https://huggingface.co/huihui-ai/Qwen3-14B-abliterated) for more details on the model.
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+
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+ ## Use with llama.cpp
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+ Install llama.cpp through brew (works on Mac and Linux)
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+
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+ ```bash
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+ brew install llama.cpp
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+
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+ ```
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+ Invoke the llama.cpp server or the CLI.
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+
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+ ### CLI:
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+ ```bash
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+ llama-cli --hf-repo BenevolenceMessiah/Qwen3-14B-abliterated-Q8_0-GGUF --hf-file qwen3-14b-abliterated-q8_0.gguf -p "The meaning to life and the universe is"
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+ ```
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+
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+ ### Server:
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+ ```bash
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+ llama-server --hf-repo BenevolenceMessiah/Qwen3-14B-abliterated-Q8_0-GGUF --hf-file qwen3-14b-abliterated-q8_0.gguf -c 2048
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+ ```
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+
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+ Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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+
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+ Step 1: Clone llama.cpp from GitHub.
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+ ```
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+ git clone https://github.com/ggerganov/llama.cpp
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+ ```
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+
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+ Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
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+ ```
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+ cd llama.cpp && LLAMA_CURL=1 make
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+ ```
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+
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+ Step 3: Run inference through the main binary.
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+ ```
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+ ./llama-cli --hf-repo BenevolenceMessiah/Qwen3-14B-abliterated-Q8_0-GGUF --hf-file qwen3-14b-abliterated-q8_0.gguf -p "The meaning to life and the universe is"
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+ ```
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+ or
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+ ```
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+ ./llama-server --hf-repo BenevolenceMessiah/Qwen3-14B-abliterated-Q8_0-GGUF --hf-file qwen3-14b-abliterated-q8_0.gguf -c 2048
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+ ```