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istvanpatai
/
RoGemma2-9B-Instruct

GGUF
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Model card Files Files and versions
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Instructions to use istvanpatai/RoGemma2-9B-Instruct 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 istvanpatai/RoGemma2-9B-Instruct 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 istvanpatai/RoGemma2-9B-Instruct:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf istvanpatai/RoGemma2-9B-Instruct:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf istvanpatai/RoGemma2-9B-Instruct:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf istvanpatai/RoGemma2-9B-Instruct: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 istvanpatai/RoGemma2-9B-Instruct:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf istvanpatai/RoGemma2-9B-Instruct: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 istvanpatai/RoGemma2-9B-Instruct:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf istvanpatai/RoGemma2-9B-Instruct:Q4_K_M
    Use Docker
    docker model run hf.co/istvanpatai/RoGemma2-9B-Instruct:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use istvanpatai/RoGemma2-9B-Instruct with Ollama:

    ollama run hf.co/istvanpatai/RoGemma2-9B-Instruct:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use istvanpatai/RoGemma2-9B-Instruct with Docker Model Runner:

    docker model run hf.co/istvanpatai/RoGemma2-9B-Instruct:Q4_K_M
  • Lemonade

    How to use istvanpatai/RoGemma2-9B-Instruct with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull istvanpatai/RoGemma2-9B-Instruct:Q4_K_M
    Run and chat with the model
    lemonade run user.RoGemma2-9B-Instruct-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
RoGemma2-9B-Instruct
33.6 GB
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  • 1 contributor
History: 10 commits
istvanpatai's picture
istvanpatai
Rename sha256-ca75882fa4aad0630977e8c34e0d742946b944bfb7b789dac099bcb46705284e to sha256-ca75882fa4aad0630977e8c34e0d742946b944bfb7b789dac099bcb46705284e.gguf
abd1234 verified almost 2 years ago
  • .gitattributes
    2.39 kB
    Rename sha256-ca75882fa4aad0630977e8c34e0d742946b944bfb7b789dac099bcb46705284e to sha256-ca75882fa4aad0630977e8c34e0d742946b944bfb7b789dac099bcb46705284e.gguf almost 2 years ago
  • rogemma2-9b-instruct-2024-10-09-q4_k_m.gguf
    5.76 GB
    xet
    Upload 8 files almost 2 years ago
  • rogemma2-9b-instruct-2024-10-09-q5_k_m.gguf
    6.65 GB
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    Upload 8 files almost 2 years ago
  • rogemma2-9b-instruct-2024-10-09-q6_k.gguf
    7.59 GB
    xet
    Upload 8 files almost 2 years ago
  • rogemma2-9b-instruct-2024-10-09-q8_0.gguf
    9.83 GB
    xet
    Upload 8 files almost 2 years ago
  • sha256-ca75882fa4aad0630977e8c34e0d742946b944bfb7b789dac099bcb46705284e.gguf
    3.82 GB
    xet
    Rename sha256-ca75882fa4aad0630977e8c34e0d742946b944bfb7b789dac099bcb46705284e to sha256-ca75882fa4aad0630977e8c34e0d742946b944bfb7b789dac099bcb46705284e.gguf almost 2 years ago