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 / release_export_manifest.json

AbteeXAILabs

Add files using upload-large-folder tool

413e454 verified about 1 month ago

raw

history blame

3.22 kB

	{
	"artifacts": {
	"checksums": "checksums.sha256",
	"gguf": "smollm2-360m-instruct-q8_0.gguf",
	"gitattributes": ".gitattributes",
	"hf_space_app": "hf_space/app.py",
	"hf_space_dir": "hf_space",
	"hf_space_readme": "hf_space/README.md",
	"hf_space_requirements": "hf_space/requirements.txt",
	"license": "LICENSE.txt",
	"merged_model": "merged_model",
	"mmproj": null,
	"ollama_create_script": "ollama/create_ollama_model.ps1",
	"ollama_modelfile": "ollama/Modelfile",
	"package_state": "merged_model/PACKAGE_STATE.txt",
	"quantized_gguf": "smollm2-360m-instruct-q8_0.gguf",
	"quickstart": "quickstart.py",
	"readme": "README.md",
	"requirements": "requirements.txt",
	"training_summary": "artifacts/release_training_summary.json",
	"upload_notes": "UPLOAD_TO_HF.md",
	"version": "VERSION.txt"
	},
	"capabilities": {
	"reasoning_enabled": false,
	"supported_modalities": [
	"text"
	]
	},
	"delivery": "standalone_prebuilt_gguf_release",
	"distribution": {
	"hf_space": {
	"app": "hf_space/app.py",
	"default_model_repo_id": "AbteeXAILab/lumynax-infused-smollm2-360m-gguf",
	"directory": "hf_space",
	"model_repo_env_var": "LUMYNAX_MODEL_REPO_ID",
	"readme": "hf_space/README.md",
	"requirements": "hf_space/requirements.txt",
	"status": "browser_showcase_for_gguf_only_release"
	},
	"ollama": {
	"create_script": "ollama/create_ollama_model.ps1",
	"mmproj": null,
	"modelfile": "ollama/Modelfile",
	"preferred_gguf": "smollm2-360m-instruct-q8_0.gguf",
	"recommended_model_name": "lumynax-infused-smollm2-360m-gguf",
	"status": "ready_for_local_ollama_create"
	}
	},
	"family": null,
	"generated_at": "2026-05-10T13:28:07.513379+00:00",
	"license": {
	"id": "apache-2.0",
	"link": "https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct-GGUF",
	"name": null,
	"weights_subject_to_upstream_license": true
	},
	"manifest_version": 2,
	"model_title": "LumynaX Infused SmolLM2 360M Instruct GGUF",
	"package_state": "prebuilt_gguf_release",
	"public_identity": {
	"model_name": "LumynaX",
	"organization": "AbteeX AI Labs",
	"region": "Aotearoa New Zealand"
	},
	"release_version": "v1",
	"runtime": {
	"delivery_mode": "standalone_prebuilt_gguf",
	"preferred_backend": "llama_cpp",
	"prompt_format": "chatml",
	"quickstart_command": "python quickstart.py --interactive",
	"system_prompt": "You are LumynaX operating from the LumynaX Infused SmolLM2 360M Instruct GGUF package identity. Be helpful, clear, and honest about provenance."
	},
	"source_gguf": {
	"filename": "smollm2-360m-instruct-q8_0.gguf",
	"mmproj_filename": null,
	"packaged_filename": "smollm2-360m-instruct-q8_0.gguf",
	"packaged_mmproj_filename": null,
	"quantization": "Q8_0",
	"repo_id": "HuggingFaceTB/SmolLM2-360M-Instruct-GGUF"
	},
	"upstream_model": {
	"kind": "official_base_weights",
	"lumynax_weight_adaptation_applied": false,
	"provider": "Hugging Face",
	"repo_id": "HuggingFaceTB/SmolLM2-360M-Instruct"
	}
	}