Instructions to use assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-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 assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF # Run inference directly in the terminal: llama cli -hf assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF # Run inference directly in the terminal: llama cli -hf assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF # Run inference directly in the terminal: ./build/bin/llama cli -hf assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF
Use Docker
docker model run hf.co/assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF
- Llama new
- LM Studio
- Jan
- Ollama
How to use assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF with Ollama:
ollama run hf.co/assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF
- Unsloth Desktop
- Docker Model Runner
How to use assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF with Docker Model Runner:
docker model run hf.co/assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF
- Lemonade
How to use assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF
Run and chat with the model
lemonade run user.SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF
Quantized and optimized for the Arduino Uno Q using an NVIDIA DGX Spark.
Optimization Specs
- Architecture: ARM64 / Adreno 702 GPU
- Quantization: Q4_0 with
--purealignment for Adreno kernels. - Base Model: SmolLM2-135M-Instruct
βοΈ Inference Engine
This model is designed to run with the optimized llama-cli binary found in the official Uno Q Edge AI repository:
π GitHub: Arduino-UnoQ-Optimized-Llama-CLI
Usage
bash ./llama-cli -m unoq_optimized.gguf -ngl 99 -t 4 -c 2048
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Hardware compatibility
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Model tree for assix-research/SmolLM2-135M-Instruct-ArduinoUnoQ-GGUF
Base model
HuggingFaceTB/SmolLM2-135M Quantized
HuggingFaceTB/SmolLM2-135M-Instruct