Instructions to use AbteeXAILab/lumynax-infused-smollm2-360m-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AbteeXAILab/lumynax-infused-smollm2-360m-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AbteeXAILab/lumynax-infused-smollm2-360m-gguf",
	filename="smollm2-360m-instruct-q8_0.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-infused-smollm2-360m-gguf with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0
# Run inference directly in the terminal:
llama-cli -hf AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0
# Run inference directly in the terminal:
llama-cli -hf AbteeXAILab/lumynax-infused-smollm2-360m-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-smollm2-360m-gguf:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf AbteeXAILab/lumynax-infused-smollm2-360m-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-smollm2-360m-gguf:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0

Use Docker

docker model run hf.co/AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0

LM Studio
Jan

vLLM

How to use AbteeXAILab/lumynax-infused-smollm2-360m-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-smollm2-360m-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-smollm2-360m-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0

Ollama
How to use AbteeXAILab/lumynax-infused-smollm2-360m-gguf with Ollama:
```
ollama run hf.co/AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0
```

Unsloth Studio

How to use AbteeXAILab/lumynax-infused-smollm2-360m-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-smollm2-360m-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-smollm2-360m-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-smollm2-360m-gguf to start chatting

Atomic Chat new
Docker Model Runner
How to use AbteeXAILab/lumynax-infused-smollm2-360m-gguf with Docker Model Runner:
```
docker model run hf.co/AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0
```

Lemonade

How to use AbteeXAILab/lumynax-infused-smollm2-360m-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AbteeXAILab/lumynax-infused-smollm2-360m-gguf:Q8_0

Run and chat with the model

lemonade run user.lumynax-infused-smollm2-360m-gguf-Q8_0

List all available models

lemonade list

lumynax-infused-smollm2-360m-gguf / hf_space /README.md

AbteeXAILabs

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title: LumynaX Infused SmolLM2 360M Instruct GGUF Demo
colorFrom: green
colorTo: blue
sdk: gradio
app_file: app.py
pinned: false
short_description: Browser demo bundle for the exported LumynaX release.

LumynaX Infused SmolLM2 360M Instruct GGUF Demo

Public browser demo for LumynaX from AbteeX AI Labs.

Overview

zero-install text demo for LumynaX Infused SmolLM2 360M Instruct GGUF
public Space backed by a private Hugging Face model repo
tuned for practical, moderately detailed responses in the browser

What To Expect

the first request after a cold start can take a minute or two
response quality is representative, but this Space is optimized for accessibility over speed
if you need full weights or deeper evaluation, use the private model repo directly

Example Prompts

Give a helpful welcome message for customers in Aotearoa New Zealand.
Explain in two short paragraphs what LumynaX Infused SmolLM2 360M Instruct GGUF is and who it is for.
Write a concise summary of why local AI deployment matters for NZ teams.

Maintainer Notes

This Space downloads the target model repo from Hugging Face at runtime. Set LUMYNAX_MODEL_REPO_ID if you want the Space to target a different private model repo. If the target repo is GGUF-only and does not contain merged_model/, this Space stays in GGUF-only browser showcase mode and points people to the local interactive quickstart instead of surfacing a raw runtime error.