Instructions to use sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-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 sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-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 sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-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 sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-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 sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf:Q4_K_M

Use Docker

docker model run hf.co/sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf:Q4_K_M

LM Studio
Jan
Ollama
How to use sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf with Ollama:
```
ollama run hf.co/sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf:Q4_K_M
```

Unsloth Studio

How to use sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf to start chatting

How to use sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-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": "sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf with Docker Model Runner:
```
docker model run hf.co/sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf:Q4_K_M
```

Lemonade

How to use sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-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 sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-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 sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-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 "sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-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"

Dude didn't have any quants and I appreciate his approach. Letting KLD go makes sense because we're literally trying to diverge. That's... the point.

So I whipped up a couple. MTP seems to still be working, which is nice. Doesn't do as much on AMD as I wish it did, but it still flies.

BTW, importance Quants are not great for MTP if those tensors get touched. You're better off just leaving them or squanching them down to Q8_0 at most. The importance matrices don't exercise enough of the speculator, it's just gonna gimp it.

Downloads last month: 668

GGUF

Model size

27B params

Architecture

qwen35

Hardware compatibility

3-bit

4-bit

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Model tree for sandmanbuzz/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-MTP-gguf

Base model

Qwen/Qwen3.8-27B

Finetuned

AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-BF16

Quantized

(29)

this model