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
Upload folder using huggingface_hub
Browse files- Modelfile +15 -0
- Modelfile:Zone.Identifier +2 -0
Modelfile
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# This Modelfile imports the custom GGUF
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FROM ./gemma3-1b-ringkasan.q4_k_m.gguf
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# Sets the correct chat template for Gemma models
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TEMPLATE """<start_of_turn>user
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{{ .Prompt }}<end_of_turn>
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<start_of_turn>model
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"""
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# (Optional) Set a custom system prompt for your model
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SYSTEM """You are a helpful AI assistant from Indonesia, skilled in summarizing text."""
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# Define the stop tokens for Gemma
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PARAMETER stop <start_of_turn>
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PARAMETER stop <end_of_turn>
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[ZoneTransfer]
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ZoneId=3
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