Instructions to use Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING 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 Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4
# Run inference directly in the terminal:
llama cli -hf Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4
# Run inference directly in the terminal:
llama cli -hf Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4

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 Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4
# Run inference directly in the terminal:
./llama-cli -hf Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4

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 Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4

Use Docker

docker model run hf.co/Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4

LM Studio
Jan
Ollama
How to use Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING with Ollama:
```
ollama run hf.co/Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4
```
Unsloth Desktop

How to use Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4

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": "Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING with Docker Model Runner:
```
docker model run hf.co/Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4
```

Lemonade

How to use Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4

Run and chat with the model

lemonade run user.Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING-MXFP4

List all available models

lemonade list

Hermes Agent

How to use Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4

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 Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4

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 "Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING:MXFP4" \
  --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"

Frankenquant of Ektome-Qwen3.8-27B-PristinelyUncensored.

Goal is to fit into 16GB Vram, did my best, dunnow what im doin, pre alpha, but works so far.

MTP is included.

My first tests shows no refusals at all in RP.

Downloads last month: 1,627

GGUF

Model size

27B params

Architecture

qwen35

Hardware compatibility

4-bit

Inference Providers NEW

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Model tree for Phil2Sat/Qwen-3.8-27B-Uncensored-I-Compact.gguf_ALPHA_TESTING

Base model

Qwen/Qwen3.8-27B

Quantized

Zynerji/Ektome-Qwen3.8-27B-PristinelyUncensored

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