How to use from
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 KomorAI/SmolLM2-Autocomplete-135M-KomorAI:F16
# Run inference directly in the terminal:
llama cli -hf KomorAI/SmolLM2-Autocomplete-135M-KomorAI:F16
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf KomorAI/SmolLM2-Autocomplete-135M-KomorAI:F16
# Run inference directly in the terminal:
llama cli -hf KomorAI/SmolLM2-Autocomplete-135M-KomorAI:F16
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 KomorAI/SmolLM2-Autocomplete-135M-KomorAI:F16
# Run inference directly in the terminal:
./build/bin/llama cli -hf KomorAI/SmolLM2-Autocomplete-135M-KomorAI:F16
Use Docker
docker model run hf.co/KomorAI/SmolLM2-Autocomplete-135M-KomorAI:F16
Quick Links

SmolLM2-Autocomplete-135M-KomorAI : GGUF

This model was converted to GGUF format using Unsloth.

Example usage:

  • For text only LLMs: llama-cli -hf KomorAI/SmolLM2-Autocomplete-135M-KomorAI --jinja
  • For multimodal models: llama-mtmd-cli -hf KomorAI/SmolLM2-Autocomplete-135M-KomorAI --jinja

Available model files:

  • SmolLM2-135M-Instruct.F16.gguf
Downloads last month
99
GGUF
Model size
0.1B params
Architecture
llama
Hardware compatibility
Log In to add your hardware

16-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support