Instructions to use JonathanColetti/Qwen3.8-27B-Uncensored-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use JonathanColetti/Qwen3.8-27B-Uncensored-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M
Use Docker
docker model run hf.co/JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use JonathanColetti/Qwen3.8-27B-Uncensored-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "JonathanColetti/Qwen3.8-27B-Uncensored-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "JonathanColetti/Qwen3.8-27B-Uncensored-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M
- Ollama
How to use JonathanColetti/Qwen3.8-27B-Uncensored-GGUF with Ollama:
ollama run hf.co/JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M
- Unsloth Desktop
- Pi
How to use JonathanColetti/Qwen3.8-27B-Uncensored-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use JonathanColetti/Qwen3.8-27B-Uncensored-GGUF with Docker Model Runner:
docker model run hf.co/JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M
- Lemonade
How to use JonathanColetti/Qwen3.8-27B-Uncensored-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Qwen3.8-27B-Uncensored-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use JonathanColetti/Qwen3.8-27B-Uncensored-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use JonathanColetti/Qwen3.8-27B-Uncensored-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "JonathanColetti/Qwen3.8-27B-Uncensored-GGUF:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Wow, this is the only uncensored model that doesn't break vision
So far only the models of Qwen3.8 that don't break the vision layers is Unsloth and it 100% passes all my vision tests. There is not a single uncensored varient that I tested that pass, in fact they all absolutely fail the more difficult tests except for your version! well done, you kept the high quality vision layers and kept it uncesored. Yes it isn't 0% rejection but some is fine.
Before Qwen3.8 27B was released, in Qwen3.5 27B, I tried HauhauCS's, Huihui's uncensored versions, all q8 quant, at that time, HauhauCS's answer is really good for special questions. So with this trust, I tried Qwen3.8 27b q8 HauhauCS gguf, same question, same system instruction, and the answer just falls apart. It just falls apart. Mid-sentence the syntax loses itself, and suddenly you get raw English fragments pasted straight into a Chinese sentence—no translation, no transition, just two languages bleeding through each other. And it's not random; this only shows up on those specific provocative questions. Give it a normal prompt and it reads fine.
Curious part: JonathanColetti's and Huihui's version handle the exact same questions without breaking a sweat. Clean output, consistent language, no mid-sentence grammar collapse.
So it feels like hauhauCS did to preserve uncensored behavior on 3.5 doesn't survive to 3.8 in the same way. Not sure why. Anyone else seen this?
楼上的,我遇到的情况和一模一样,那个HauhauCS遇到涉及审核的问题都是英文回复,JonathanColetti这个版本可以中文,但是说实话都没有闭源的回复有味道。