Instructions to use Thox-ai/ThoxNano-360M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Thox-ai/ThoxNano-360M 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 Thox-ai/ThoxNano-360M:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Thox-ai/ThoxNano-360M:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Thox-ai/ThoxNano-360M:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Thox-ai/ThoxNano-360M: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 Thox-ai/ThoxNano-360M:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Thox-ai/ThoxNano-360M: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 Thox-ai/ThoxNano-360M:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Thox-ai/ThoxNano-360M:Q4_K_M

Use Docker

docker model run hf.co/Thox-ai/ThoxNano-360M:Q4_K_M

LM Studio
Jan

vLLM

How to use Thox-ai/ThoxNano-360M with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Thox-ai/ThoxNano-360M"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Thox-ai/ThoxNano-360M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Thox-ai/ThoxNano-360M:Q4_K_M

Ollama
How to use Thox-ai/ThoxNano-360M with Ollama:
```
ollama run hf.co/Thox-ai/ThoxNano-360M:Q4_K_M
```

Unsloth Studio

How to use Thox-ai/ThoxNano-360M 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 Thox-ai/ThoxNano-360M 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 Thox-ai/ThoxNano-360M to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Thox-ai/ThoxNano-360M to start chatting

Docker Model Runner
How to use Thox-ai/ThoxNano-360M with Docker Model Runner:
```
docker model run hf.co/Thox-ai/ThoxNano-360M:Q4_K_M
```

Lemonade

How to use Thox-ai/ThoxNano-360M with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Thox-ai/ThoxNano-360M:Q4_K_M

Run and chat with the model

lemonade run user.ThoxNano-360M-Q4_K_M

List all available models

lemonade list

Atomic Chat

ThoxNano-360M

THOX-branded on-device model derived from HuggingFaceTB/SmolLM-360M, fine-tuned on the THOX chat + agent/tool-use corpora and quantized for the ThoxClip tier. Status: skeleton — weights pending fine-tune + quantize.

Intended use

On-device assistant / tool-routing for the THOX device program.

Out of scope

Not for safety-critical, medical, or legal decisions without a human in the loop.

Provenance & license

Base: HuggingFaceTB/SmolLM-360M (apache-2.0).

Quantization (to be filled by measured bench)

Quant	On-disk	RAM/RSS	tok/s CPU
Q4_K_M	TBD	TBD	TBD

Decensor policy for this repo: public.

Downloads last month: -

Safetensors

Model size

0.4B params

Tensor type

BF16

Model tree for Thox-ai/ThoxNano-360M

Base model

HuggingFaceTB/SmolLM-360M

Quantized

(13)

this model