Instructions to use dwili/gemma3-1b-ringkasan-bahasa-indo-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 dwili/gemma3-1b-ringkasan-bahasa-indo-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 dwili/gemma3-1b-ringkasan-bahasa-indo-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf dwili/gemma3-1b-ringkasan-bahasa-indo-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf dwili/gemma3-1b-ringkasan-bahasa-indo-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf dwili/gemma3-1b-ringkasan-bahasa-indo-gguf: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 dwili/gemma3-1b-ringkasan-bahasa-indo-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf dwili/gemma3-1b-ringkasan-bahasa-indo-gguf: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 dwili/gemma3-1b-ringkasan-bahasa-indo-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf dwili/gemma3-1b-ringkasan-bahasa-indo-gguf:Q4_K_M
Use Docker
docker model run hf.co/dwili/gemma3-1b-ringkasan-bahasa-indo-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use dwili/gemma3-1b-ringkasan-bahasa-indo-gguf with Ollama:
ollama run hf.co/dwili/gemma3-1b-ringkasan-bahasa-indo-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use dwili/gemma3-1b-ringkasan-bahasa-indo-gguf with Docker Model Runner:
docker model run hf.co/dwili/gemma3-1b-ringkasan-bahasa-indo-gguf:Q4_K_M
- Lemonade
How to use dwili/gemma3-1b-ringkasan-bahasa-indo-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull dwili/gemma3-1b-ringkasan-bahasa-indo-gguf:Q4_K_M
Run and chat with the model
lemonade run user.gemma3-1b-ringkasan-bahasa-indo-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- 234d08c91027b166cba57385bb6469fd7ab6ba077de2e327348051506d217432
- Size of remote file:
- 2 GB
- SHA256:
- f60075ec74ed8ea81f8626a7dfd9757a1237d5d0496095433d254080c8aa4f07
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