Instructions to use DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF", dtype="auto")

llama-cpp-python

How to use DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF",
	filename="Qwen3.6-27B-NEO-CODE-2T-OT-HIGH-Q8_0.gguf",
)

llm.create_chat_completion(
	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"
					}
				}
			]
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-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-NEO-CODE-Di-IMatrix-MAX-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-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-NEO-CODE-Di-IMatrix-MAX-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-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-NEO-CODE-Di-IMatrix-MAX-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-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-NEO-CODE-Di-IMatrix-MAX-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF:Q4_K_M

Use Docker

docker model run hf.co/DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-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-NEO-CODE-Di-IMatrix-MAX-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-NEO-CODE-Di-IMatrix-MAX-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-NEO-CODE-Di-IMatrix-MAX-GGUF:Q4_K_M

SGLang

How to use DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-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 images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-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"
						}
					}
				]
			}
		]
	}'

Ollama
How to use DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF with Ollama:
```
ollama run hf.co/DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF:Q4_K_M
```

Unsloth Studio

How to use DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-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-NEO-CODE-Di-IMatrix-MAX-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-NEO-CODE-Di-IMatrix-MAX-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-NEO-CODE-Di-IMatrix-MAX-GGUF to start chatting

How to use DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-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-NEO-CODE-Di-IMatrix-MAX-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-NEO-CODE-Di-IMatrix-MAX-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-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-NEO-CODE-Di-IMatrix-MAX-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-NEO-CODE-Di-IMatrix-MAX-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF with Docker Model Runner:
```
docker model run hf.co/DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF:Q4_K_M
```

Lemonade

How to use DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull DavidAU/Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF-Q4_K_M

List all available models

lemonade list

humble request if possible to do this neo code magic to latest NVIDIA-Nemotron-3-Nano-Omni-30B-A3B

by Hakemz - opened Apr 28

Discussion

Hakemz

Apr 28

First thank you for amazing amazing Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF, finally after long time waiting now it is possible for me to have local creative and good vision model for my mere 12 GB VRAM even if it just IQ2_M but magically still have high accuracy and much more creative than base model. It is slow though because I use image input too with text but usable enough and not too slow that is annoying. However when NVIDIA-Nemotron-3-Nano-Omni-30B-A3B came out and I tried it, surprisingly it is really good in its vision capability far better than even this neo code quant and base qwen3.6 and fast too since 3B activated only, I mean really really good, but when it comes to creativity it is less creative than this qwen3.6 27b neo code quant. So I think if you do this neo code magic to this new model, probably it will be the best small all purpose model ever that can be run locally! With 3B activated, my workflow time can be reduced to hour or two instead of 4 hours+ with Qwen3.6-27B-NEO-CODE-Di-IMatrix-MAX-GGUF.

So just my humble request but can be ignored though. :D

Hakemz changed discussion status to closed Apr 28

DavidAU

Owner Apr 29

You may want to check this out ; uploading now:

https://huggingface.co/DavidAU/Qwen3.6-27B-Heretic-Uncensored-FINETUNE-NEO-CODE-Di-IMatrix-MAX-GGUF

This model AND quants exceed Qwen 3.6 27B performance and fully uncensored too.

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