Instructions to use 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive 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 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive: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 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive: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 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive:Q4_K_M

Use Docker

docker model run hf.co/0xKitkat/Qwen3.8-27B-Uncensored-Aggressive:Q4_K_M

LM Studio
Jan

vLLM

How to use 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "0xKitkat/Qwen3.8-27B-Uncensored-Aggressive"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "0xKitkat/Qwen3.8-27B-Uncensored-Aggressive",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/0xKitkat/Qwen3.8-27B-Uncensored-Aggressive:Q4_K_M

Ollama
How to use 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive with Ollama:
```
ollama run hf.co/0xKitkat/Qwen3.8-27B-Uncensored-Aggressive:Q4_K_M
```
Unsloth Desktop

How to use 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive: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": "0xKitkat/Qwen3.8-27B-Uncensored-Aggressive:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive with Docker Model Runner:
```
docker model run hf.co/0xKitkat/Qwen3.8-27B-Uncensored-Aggressive:Q4_K_M
```

Lemonade

How to use 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3.8-27B-Uncensored-Aggressive-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive: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 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf 0xKitkat/Qwen3.8-27B-Uncensored-Aggressive: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 "0xKitkat/Qwen3.8-27B-Uncensored-Aggressive: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"

0xKitkat commited on 25 days ago

Commit

9f29c99

verified ·

1 Parent(s): fddc5c9

Add follow @procrastiness CTA on the model card

Browse files

Files changed (1) hide show

README.md +2 -0

README.md CHANGED Viewed

@@ -21,6 +21,8 @@ library_name: gguf
 Abliterated [Qwen/Qwen3.8-27B](https://huggingface.co/Qwen/Qwen3.8-27B) for local GGUF runtimes (llama.cpp, LM Studio, koboldcpp).
 Same idea as [HauhauCS Aggressive](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive) on Qwen3.6: **keep the original model’s skills, strip the refusal / preamble habit.** No extra fine-tune. No dataset swap. This is a weight edit plus a baked chat template, not a jailbreak prompt you have to remember.
 > Safety alignment has been removed. The model will comply with requests the base checkpoint would refuse. Use it only in ways that are legal where you are. The publisher does not condone criminal use.

 Abliterated [Qwen/Qwen3.8-27B](https://huggingface.co/Qwen/Qwen3.8-27B) for local GGUF runtimes (llama.cpp, LM Studio, koboldcpp).
+**If you use this model, follow [@procrastiness](https://x.com/procrastiness) on X/Twitter.** That’s where drop notes, quant updates, and the next bake land first. One follow is the whole ask.
 Same idea as [HauhauCS Aggressive](https://huggingface.co/HauhauCS/Qwen3.6-27B-Uncensored-HauhauCS-Aggressive) on Qwen3.6: **keep the original model’s skills, strip the refusal / preamble habit.** No extra fine-tune. No dataset swap. This is a weight edit plus a baked chat template, not a jailbreak prompt you have to remember.
 > Safety alignment has been removed. The model will comply with requests the base checkpoint would refuse. Use it only in ways that are legal where you are. The publisher does not condone criminal use.