Instructions to use AbteeXAILab/lumynax-infused-qwen3-17b-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 AbteeXAILab/lumynax-infused-qwen3-17b-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-infused-qwen3-17b-gguf:Q8_0
# Run inference directly in the terminal:
llama cli -hf AbteeXAILab/lumynax-infused-qwen3-17b-gguf:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AbteeXAILab/lumynax-infused-qwen3-17b-gguf:Q8_0
# Run inference directly in the terminal:
llama cli -hf AbteeXAILab/lumynax-infused-qwen3-17b-gguf:Q8_0

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-infused-qwen3-17b-gguf:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf AbteeXAILab/lumynax-infused-qwen3-17b-gguf:Q8_0

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-infused-qwen3-17b-gguf:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AbteeXAILab/lumynax-infused-qwen3-17b-gguf:Q8_0

Use Docker

docker model run hf.co/AbteeXAILab/lumynax-infused-qwen3-17b-gguf:Q8_0

LM Studio
Jan

vLLM

How to use AbteeXAILab/lumynax-infused-qwen3-17b-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AbteeXAILab/lumynax-infused-qwen3-17b-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-infused-qwen3-17b-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/AbteeXAILab/lumynax-infused-qwen3-17b-gguf:Q8_0

Ollama
How to use AbteeXAILab/lumynax-infused-qwen3-17b-gguf with Ollama:
```
ollama run hf.co/AbteeXAILab/lumynax-infused-qwen3-17b-gguf:Q8_0
```

Unsloth Studio

How to use AbteeXAILab/lumynax-infused-qwen3-17b-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-infused-qwen3-17b-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-infused-qwen3-17b-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-infused-qwen3-17b-gguf to start chatting

How to use AbteeXAILab/lumynax-infused-qwen3-17b-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-infused-qwen3-17b-gguf:Q8_0

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-infused-qwen3-17b-gguf:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

OpenClaw new

How to use AbteeXAILab/lumynax-infused-qwen3-17b-gguf with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf AbteeXAILab/lumynax-infused-qwen3-17b-gguf:Q8_0

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 "AbteeXAILab/lumynax-infused-qwen3-17b-gguf:Q8_0" \
  --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 AbteeXAILab/lumynax-infused-qwen3-17b-gguf with Docker Model Runner:
```
docker model run hf.co/AbteeXAILab/lumynax-infused-qwen3-17b-gguf:Q8_0
```

Lemonade

How to use AbteeXAILab/lumynax-infused-qwen3-17b-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AbteeXAILab/lumynax-infused-qwen3-17b-gguf:Q8_0

Run and chat with the model

lemonade run user.lumynax-infused-qwen3-17b-gguf-Q8_0

List all available models

lemonade list

Hermes Agent

How to use AbteeXAILab/lumynax-infused-qwen3-17b-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-infused-qwen3-17b-gguf:Q8_0

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-infused-qwen3-17b-gguf:Q8_0

Run Hermes

hermes

Atomic Chat

AbteeXAILabs commited on Jun 7

Commit

59295ec

verified ·

1 Parent(s): 5e14de0

docs: publish professional LumynaX model card

Browse files

Files changed (2) hide show

README.md +11 -0
checksums.sha256 +1 -1

README.md CHANGED Viewed

@@ -16,6 +16,17 @@ tags:
 - qwen
 - sovereign-ai
 - text
 ---
 # LumynaX Infused Qwen3 1.7B GGUF

 - qwen
 - sovereign-ai
 - text
+- vllm
+- vllm-compatible
+- vllm-experimental
+- nvidia-nim
+- nim-compatible
+- nim-candidate
+- nvidia-nemo
+- nem
+- nvidia-nemo-pathway
+- nem-pathway
+- nem-convert-required
 ---
 # LumynaX Infused Qwen3 1.7B GGUF

checksums.sha256 CHANGED Viewed

@@ -10,7 +10,7 @@ d74a16cac51b82a96c0a08217f38eb4152e0a4de400bd0b06498c5678681d808  hf_space/app.p
 42829274777221114d78e02b6cc4e1282c2ea010f7517d35e8dff98aa7b71434  ollama/Modelfile
 11634717e21c1f8147c766d54002fc37ac1320da08fe5a468d8b6d49e68ea7fc  quickstart.py
 061b54daade076b5d3362dac252678d17da8c68f07560be70818cace6590cb1a  Qwen3-1.7B-Q8_0.gguf
-cd7ce59ea7cd2293a2084d76aa169ba009f82396c28c9e36bb1bc654f1372c77  README.md
 309ccc3deb2475cfed8c407be46e65c77fbf0f5f408e67997adc77caebb69b4d  release_export_manifest.json
 2a7ca962dd79646b8470b45ec926ade0a4eb01ebdd93452e6990d8997666e378  requirements.txt
 cdf5c5bf1dad925791ffc3131f9554c122e060343a6e241e130190b018d4bc06  UPLOAD_TO_HF.md

 42829274777221114d78e02b6cc4e1282c2ea010f7517d35e8dff98aa7b71434  ollama/Modelfile
 11634717e21c1f8147c766d54002fc37ac1320da08fe5a468d8b6d49e68ea7fc  quickstart.py
 061b54daade076b5d3362dac252678d17da8c68f07560be70818cace6590cb1a  Qwen3-1.7B-Q8_0.gguf
+562ecc3d26ed1ffbe333a9cce9096e2c610062cbc0e383b32b0675be37f40050  README.md
 309ccc3deb2475cfed8c407be46e65c77fbf0f5f408e67997adc77caebb69b4d  release_export_manifest.json
 2a7ca962dd79646b8470b45ec926ade0a4eb01ebdd93452e6990d8997666e378  requirements.txt
 cdf5c5bf1dad925791ffc3131f9554c122e060343a6e241e130190b018d4bc06  UPLOAD_TO_HF.md