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How to use danbev/gemma-4-E4B-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 danbev/gemma-4-E4B-GGUF:BF16 # Run inference directly in the terminal: llama cli -hf danbev/gemma-4-E4B-GGUF:BF16
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf danbev/gemma-4-E4B-GGUF:BF16 # Run inference directly in the terminal: llama cli -hf danbev/gemma-4-E4B-GGUF:BF16
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 danbev/gemma-4-E4B-GGUF:BF16 # Run inference directly in the terminal: ./build/bin/llama cli -hf danbev/gemma-4-E4B-GGUF:BF16
docker model run hf.co/danbev/gemma-4-E4B-GGUF:BF16
How to use danbev/gemma-4-E4B-GGUF with Ollama:
ollama run hf.co/danbev/gemma-4-E4B-GGUF:BF16
How to use danbev/gemma-4-E4B-GGUF with Docker Model Runner:
docker model run hf.co/danbev/gemma-4-E4B-GGUF:BF16
How to use danbev/gemma-4-E4B-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull danbev/gemma-4-E4B-GGUF:BF16
lemonade run user.gemma-4-E4B-GGUF-BF16
lemonade list
Run it in the Llama app: https://llama.app
Or from the terminal:
llama serve -hf danbev/gemma-4-E4B-GGUF
This model is automatically converted using https://github.com/ggml-org/convert
8-bit
16-bit
Base model
google/gemma-4-E4B