base_model: huihui-ai/Qwen3-1.7B-abliterated
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-1.7B/blob/main/LICENSE
pipeline_tag: text-generation
tags:
chat
abliterated
uncensored
llama-cpp
gguf-my-repo
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.'
ldostadi/Qwen3-1.7B-abliterated-Q4_K_M-GGUF
This model was converted to GGUF format from huihui-ai/Qwen3-1.7B-abliterated using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo ldostadi/Qwen3-1.7B-abliterated-Q4_K_M-GGUF --hf-file qwen3-1.7b-abliterated-q4_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo ldostadi/Qwen3-1.7B-abliterated-Q4_K_M-GGUF --hf-file qwen3-1.7b-abliterated-q4_k_m.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
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).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo ldostadi/Qwen3-1.7B-abliterated-Q4_K_M-GGUF --hf-file qwen3-1.7b-abliterated-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo ldostadi/Qwen3-1.7B-abliterated-Q4_K_M-GGUF --hf-file qwen3-1.7b-abliterated-q4_k_m.gguf -c 2048