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ZeroWw
/
Gemma-3-R1-4B-v1-GGUF

Text Generation
GGUF
English
conversational
Model card Files Files and versions
xet
Community

Instructions to use ZeroWw/Gemma-3-R1-4B-v1-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 ZeroWw/Gemma-3-R1-4B-v1-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 ZeroWw/Gemma-3-R1-4B-v1-GGUF:F16
    # Run inference directly in the terminal:
    llama cli -hf ZeroWw/Gemma-3-R1-4B-v1-GGUF:F16
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf ZeroWw/Gemma-3-R1-4B-v1-GGUF:F16
    # Run inference directly in the terminal:
    llama cli -hf ZeroWw/Gemma-3-R1-4B-v1-GGUF:F16
    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 ZeroWw/Gemma-3-R1-4B-v1-GGUF:F16
    # Run inference directly in the terminal:
    ./llama-cli -hf ZeroWw/Gemma-3-R1-4B-v1-GGUF:F16
    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 ZeroWw/Gemma-3-R1-4B-v1-GGUF:F16
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf ZeroWw/Gemma-3-R1-4B-v1-GGUF:F16
    Use Docker
    docker model run hf.co/ZeroWw/Gemma-3-R1-4B-v1-GGUF:F16
  • LM Studio
  • Jan
  • vLLM

    How to use ZeroWw/Gemma-3-R1-4B-v1-GGUF with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "ZeroWw/Gemma-3-R1-4B-v1-GGUF"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "ZeroWw/Gemma-3-R1-4B-v1-GGUF",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/ZeroWw/Gemma-3-R1-4B-v1-GGUF:F16
  • Ollama

    How to use ZeroWw/Gemma-3-R1-4B-v1-GGUF with Ollama:

    ollama run hf.co/ZeroWw/Gemma-3-R1-4B-v1-GGUF:F16
  • Unsloth Studio

    How to use ZeroWw/Gemma-3-R1-4B-v1-GGUF with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for ZeroWw/Gemma-3-R1-4B-v1-GGUF to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for ZeroWw/Gemma-3-R1-4B-v1-GGUF to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for ZeroWw/Gemma-3-R1-4B-v1-GGUF to start chatting
  • Atomic Chat new
  • Docker Model Runner

    How to use ZeroWw/Gemma-3-R1-4B-v1-GGUF with Docker Model Runner:

    docker model run hf.co/ZeroWw/Gemma-3-R1-4B-v1-GGUF:F16
  • Lemonade

    How to use ZeroWw/Gemma-3-R1-4B-v1-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull ZeroWw/Gemma-3-R1-4B-v1-GGUF:F16
    Run and chat with the model
    lemonade run user.Gemma-3-R1-4B-v1-GGUF-F16
    List all available models
    lemonade list
Gemma-3-R1-4B-v1-GGUF
26.9 GB
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  • 1 contributor
History: 3 commits
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ZeroWw
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  • .gitattributes
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  • Gemma-3-R1-4B-v1.f16.gguf
    7.77 GB
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  • Gemma-3-R1-4B-v1.q5_k.gguf
    3.62 GB
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  • Gemma-3-R1-4B-v1.q6_k.gguf
    3.98 GB
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  • Gemma-3-R1-4B-v1.q8_0.gguf
    4.76 GB
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  • Gemma-3-R1-4B-v1.q8_p.gguf
    4.13 GB
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  • Gemma-3-R1-4B-v1.q8q4.gguf
    2.65 GB
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  • README.md
    339 Bytes
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