How to use ggml-org-dev/tinygemma3-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf ggml-org-dev/tinygemma3-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf ggml-org-dev/tinygemma3-GGUF:Q8_0
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ggml-org-dev/tinygemma3-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf ggml-org-dev/tinygemma3-GGUF:Q8_0
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 ggml-org-dev/tinygemma3-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf ggml-org-dev/tinygemma3-GGUF:Q8_0
docker model run hf.co/ggml-org-dev/tinygemma3-GGUF:Q8_0
How to use ggml-org-dev/tinygemma3-GGUF with Ollama:
ollama run hf.co/ggml-org-dev/tinygemma3-GGUF:Q8_0
How to use ggml-org-dev/tinygemma3-GGUF with Docker Model Runner:
How to use ggml-org-dev/tinygemma3-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ggml-org-dev/tinygemma3-GGUF:Q8_0
lemonade run user.tinygemma3-GGUF-Q8_0
lemonade list
https://huggingface.co/ggml-org-dev/tinygemma3-GGUF/resolve/main/README.md
hf download hf://ggml-org-dev/tinygemma3-GGUF/README.md
curl -L -o README.md https://huggingface.co/ggml-org-dev/tinygemma3-GGUF/resolve/main/README.md
license: wtfpl base_model: - ngxson/tinygemma3_cifar
This is trained on CIFAR-10 dataset.
Used by llama.cpp CI test
