Instructions to use DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-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 DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-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 DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-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 DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-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 DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-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 DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF:Q4_K_M

Use Docker

docker model run hf.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-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": "DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF",
		"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/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF:Q4_K_M

Ollama
How to use DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF with Ollama:
```
ollama run hf.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF:Q4_K_M
```

Unsloth Studio

How to use DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-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 DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-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 DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-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 DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF to start chatting

How to use DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-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 DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-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 DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-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 DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-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 DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-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 "DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-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"

Docker Model Runner
How to use DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF with Docker Model Runner:
```
docker model run hf.co/DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF:Q4_K_M
```

Lemonade

How to use DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF-Q4_K_M

List all available models

lemonade list

VERSION: Ninfer (130-160 t/s) by gorbatjovy

#48

by gorbatjovy - opened 5 days ago

Discussion

gorbatjovy

5 days ago

I converted my version of this into Ninfer for a speed of 130-160 TPS
Read more about Ninfer here, specialized c++ inference for 5090 and Qwen3.6 27B / 35B here:
https://github.com/Neroued/ninfer
gorbatjovy/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-heretic-ninfer

DavidAU

Owner 4 days ago

Excellent work.

DavidAU changed discussion title from Ninfer version to VERSION: Ninfer (130-160 t/s) by gorbatjovy 4 days ago

EternalMoonshine

3 days ago

I converted my version of this into Ninfer for a speed of 130-160 TPS
Read more about Ninfer here, specialized c++ inference for 5090 and Qwen3.6 27B / 35B here:
https://github.com/Neroued/ninfer
gorbatjovy/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-heretic-ninfer

will it work on m1 mac 64bg ram?

gorbatjovy

3 days ago

will it work on m1 mac 64bg ram?

To my knowledge Ninfer is a 5090 specialized framework

bissli

3 days ago

I converted my version of this into Ninfer for a speed of 130-160 TPS
Read more about Ninfer here, specialized c++ inference for 5090 and Qwen3.6 27B / 35B here:
https://github.com/Neroued/ninfer
gorbatjovy/Qwen3.6-27B-Architect-Polaris2-Fable-B-F451-heretic-ninfer

How does one convert to the ninfer format? I would like to try an nvf4 version of this model.

gorbatjovy

2 days ago

How does one convert to the ninfer format? I would like to try an nvf4 version of this model.

I used the conversion script provided by the Ninfer GitHub repository.
I haven't looked into exactly how the weights are quantized under Ninfer at all.
Here is a quick summary I had Gemini draft up on exactly the steps I took to convert this model into Ninfer, keep in mind it's for Qwen3.6 only right now as I understand it.

The NInfer Bypass: Converting Custom Qwen3.6-27B Heretics
This guide details the workflow for converting uncensored/abliterated ("heretic") Qwen3.6-27B models into .ninfer artifacts, bypassing the engine's strict file validation checks.

The Core Issue
ninfer is a highly-optimized, strict C++ inference engine designed specifically for the RTX 5090. To guarantee runtime stability, it hardcodes SHA-256 hash checks to ensure it is loading the exact official Qwen3.6-27B configuration files.
Custom heretic models often feature stripped-down configuration files (missing critical blocks like added_tokens_decoder or chat_template), which causes the ninfer conversion script to crash.
Fetching the Official Assets
To ensure the C++ engine gets the exact structure it demands, you must replace the heretic model's broken configuration files with the pristine, official versions.
Navigate to the official Qwen/Qwen3.6-27B repository on Hugging Face.
Download the following original files and place them directly into your local heretic model directory (overwriting the existing ones):
tokenizer.json
tokenizer_config.json
chat_template.jinja
generation_config.json
preprocessor_config.json
video_preprocessor_config.json
Calculating the New Hashes
Run this command inside your model directory:
Bash
sha256sum tokenizer.json tokenizer_config.json chat_template.jinja generation_config.json preprocessor_config.json video_preprocessor_config.json
Copy the resulting SHA-256 strings.
Patching the Python Bouncer
Now, inject those new hashes into the converter script so it grants your custom files VIP access.
In the ninfer repository, open tools/convert/qwen3_6/common/official_resources.py.
Locate the OFFICIAL_RESOURCE_SHA256 dictionary.
Carefully replace the official hash strings with the exact hashes you generated in Step 3. Save the file.
Running the CPU Conversion
Converting a massive 27B model on the GPU can trigger CUDA out-of-memory fragmentation, even on a 32GB RTX 5090. To bypass this, temporarily hide the GPU from PyTorch and force the conversion into system RAM.
Execute the conversion script from the ninfer root directory:

CUDA_VISIBLE_DEVICES="" python -m tools.convert.qwen3_6_27b.convert
--input-dir ./INPUT_MODEL
--output-path ../qwen3.6-27b-heretic.ninfer

Once the script finishes, your fully uncensored, MTP-preserved .ninfer artifact is ready to be served!

bissli

2 days ago

How does one convert to the ninfer format? I would like to try an nvf4 version of this model.

I used the conversion script provided by the Ninfer GitHub repository.
I haven't looked into exactly how the weights are quantized under Ninfer at all.
Here is a quick summary I had Gemini draft up on exactly the steps I took to convert this model into Ninfer, keep in mind it's for Qwen3.6 only right now as I understand it.

...

Once the script finishes, your fully uncensored, MTP-preserved .ninfer artifact is ready to be served!

Thanks for the detailed response. I just realized that I was viewing the repo on mobile and it was cutting off everything under tests directory and I never saw tools.

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