Instructions to use AbteeXAILab/lumynax-reasoning-qwq-32b-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AbteeXAILab/lumynax-reasoning-qwq-32b-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AbteeXAILab/lumynax-reasoning-qwq-32b-gguf",
	filename="qwq-32b-q4_k_m.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use AbteeXAILab/lumynax-reasoning-qwq-32b-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 AbteeXAILab/lumynax-reasoning-qwq-32b-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AbteeXAILab/lumynax-reasoning-qwq-32b-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 AbteeXAILab/lumynax-reasoning-qwq-32b-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf AbteeXAILab/lumynax-reasoning-qwq-32b-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 AbteeXAILab/lumynax-reasoning-qwq-32b-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf AbteeXAILab/lumynax-reasoning-qwq-32b-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 AbteeXAILab/lumynax-reasoning-qwq-32b-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AbteeXAILab/lumynax-reasoning-qwq-32b-gguf:Q4_K_M

Use Docker

docker model run hf.co/AbteeXAILab/lumynax-reasoning-qwq-32b-gguf:Q4_K_M

LM Studio
Jan

vLLM

How to use AbteeXAILab/lumynax-reasoning-qwq-32b-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AbteeXAILab/lumynax-reasoning-qwq-32b-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": "AbteeXAILab/lumynax-reasoning-qwq-32b-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/AbteeXAILab/lumynax-reasoning-qwq-32b-gguf:Q4_K_M

Ollama
How to use AbteeXAILab/lumynax-reasoning-qwq-32b-gguf with Ollama:
```
ollama run hf.co/AbteeXAILab/lumynax-reasoning-qwq-32b-gguf:Q4_K_M
```

Unsloth Studio

How to use AbteeXAILab/lumynax-reasoning-qwq-32b-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 AbteeXAILab/lumynax-reasoning-qwq-32b-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 AbteeXAILab/lumynax-reasoning-qwq-32b-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AbteeXAILab/lumynax-reasoning-qwq-32b-gguf to start chatting

How to use AbteeXAILab/lumynax-reasoning-qwq-32b-gguf with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AbteeXAILab/lumynax-reasoning-qwq-32b-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": "AbteeXAILab/lumynax-reasoning-qwq-32b-gguf:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use AbteeXAILab/lumynax-reasoning-qwq-32b-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 AbteeXAILab/lumynax-reasoning-qwq-32b-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 AbteeXAILab/lumynax-reasoning-qwq-32b-gguf:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use AbteeXAILab/lumynax-reasoning-qwq-32b-gguf with Docker Model Runner:
```
docker model run hf.co/AbteeXAILab/lumynax-reasoning-qwq-32b-gguf:Q4_K_M
```

Lemonade

How to use AbteeXAILab/lumynax-reasoning-qwq-32b-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AbteeXAILab/lumynax-reasoning-qwq-32b-gguf:Q4_K_M

Run and chat with the model

lemonade run user.lumynax-reasoning-qwq-32b-gguf-Q4_K_M

List all available models

lemonade list

lumynax-reasoning-qwq-32b-gguf

File size: 1,017 Bytes

438644e

{
  "release_id": "lumynax-reasoning-qwq-32b-gguf",
  "title": "LumynaX Reasoning QwQ-32B GGUF",
  "repo_id": "AbteeXAILab/lumynax-reasoning-qwq-32b-gguf",
  "version": "v0.1.0",
  "publisher": "AbteeX AI Labs",
  "publisher_org": "AbteeXAILab",
  "jurisdiction": "NZ",
  "residency": [
    "NZ"
  ],
  "upstream": {
    "repo_id": "Qwen/QwQ-32B",
    "license": "apache-2.0",
    "prompt_format": "chatml",
    "source_note": "Qwen QwQ reasoning"
  },
  "gguf_mirror": "Qwen/QwQ-32B-GGUF",
  "runtime": "llama_cpp",
  "modalities": [
    "text"
  ],
  "context_tokens": 131072,
  "total_params_b": 32,
  "active_params_b": null,
  "quantization": "Q4_K_M GGUF",
  "primary_artifact": "qwq-32b-q4_k_m.gguf",
  "package_state": "weights_mirrored",
  "validation_status": "scaffold_verified",
  "sovereignty_tier": 3,
  "supports_tools": true,
  "supports_json": true,
  "audit_hash_chain": "SHA-256 over canonical request + response JSON",
  "build_date_utc": "2026-05-17T02:13:46Z"
}