Instructions to use LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF",
	filename="Qwen3.6-35B-A3B-Uncensored-APEX-Compact.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 LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_M
# Run inference directly in the terminal:
llama-cli -hf LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_M
# Run inference directly in the terminal:
llama-cli -hf LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_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 LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_M
# Run inference directly in the terminal:
./llama-cli -hf LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_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 LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_M

Use Docker

docker model run hf.co/LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_M

LM Studio
Jan

vLLM

How to use LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-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": "LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-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/LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_M

Ollama
How to use LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF with Ollama:
```
ollama run hf.co/LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_M
```

Unsloth Studio

How to use LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-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 LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-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 LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF to start chatting

How to use LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_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": "LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_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 LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF with Docker Model Runner:
```
docker model run hf.co/LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_M
```

Lemonade

How to use LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF:IQ3_M

Run and chat with the model

lemonade run user.Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF-IQ3_M

List all available models

lemonade list

OOM and context limits reached too soon

by mancub - opened Apr 22

Discussion

mancub

Apr 22

Q8 is giving me OOMs for some reason, while the Q6 is telling me "Text limit reached" in llama.cpp webui around 20K context; multimodal is enabled.

Running 2x3090 with 128K context with the following arguments:

./build/bin/llama-server \
  --model /home/user/models/LuffyTheFox_Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF/Qwen3.6-35B-A3B-Uncensored.Q6_K_P.gguf \
  --alias Qwen3.6-35B \
  --ctx-size $((128 * 1024)) \
  -kvu \
  -sm tensor \
  --jinja \
  --temp 1.0 \
  --top-p 0.95 \
  --min-p 0.00 \
  --top-k 20 \
  -t 1 \
  --parallel 1 \
  --host 0.0.0.0 \
  --port 8081 \
  --flash-attn on \
  --batch-size 4096 \
  --ubatch-size 1024 \
  --no-mmap \
  --presence-penalty 0.0 \
  --repeat-penalty 1.0 \
  --repeat-last-n 256 \
  --cont-batching \
  --threads-batch 16 \
  --ctx-checkpoints 32 \
  --context-shift \
  --reasoning off \
  --metrics \
  --chat-template-kwargs '{"preserve_thinking":true}' \
  --mmproj /home/user/models/LuffyTheFox_Qwen3.6-35B-A3B-Uncensored-Wasserstein-GGUF/mmproj-Qwen3.6-35B-A3B-Uncensored.f16.gguf

Tried with and without -sm tensor but it doesn't make a difference, either crashes or reaches a limit. Am I missing something here?

(downloading the Q8 Plus version now and will try that next)

mancub changed discussion title from OOM and context limits reached to OOM and context limits reached too soon Apr 22

mancub

Apr 22

It appears the problem is with the llama.cpp webui, all other models choke after 10-20k context...

mancub changed discussion status to closed Apr 23

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