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Edens-Gate
/
maggemma2b-c159

PyTorch
GGUF
gemma2
Model card Files Files and versions
xet
Community

Instructions to use Edens-Gate/maggemma2b-c159 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 Edens-Gate/maggemma2b-c159 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 Edens-Gate/maggemma2b-c159:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf Edens-Gate/maggemma2b-c159:Q8_0
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf Edens-Gate/maggemma2b-c159:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf Edens-Gate/maggemma2b-c159:Q8_0
    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 Edens-Gate/maggemma2b-c159:Q8_0
    # Run inference directly in the terminal:
    ./llama-cli -hf Edens-Gate/maggemma2b-c159:Q8_0
    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 Edens-Gate/maggemma2b-c159:Q8_0
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf Edens-Gate/maggemma2b-c159:Q8_0
    Use Docker
    docker model run hf.co/Edens-Gate/maggemma2b-c159:Q8_0
  • LM Studio
  • Jan
  • Ollama

    How to use Edens-Gate/maggemma2b-c159 with Ollama:

    ollama run hf.co/Edens-Gate/maggemma2b-c159:Q8_0
  • Unsloth Studio

    How to use Edens-Gate/maggemma2b-c159 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 Edens-Gate/maggemma2b-c159 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 Edens-Gate/maggemma2b-c159 to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for Edens-Gate/maggemma2b-c159 to start chatting
  • Docker Model Runner

    How to use Edens-Gate/maggemma2b-c159 with Docker Model Runner:

    docker model run hf.co/Edens-Gate/maggemma2b-c159:Q8_0
  • Lemonade

    How to use Edens-Gate/maggemma2b-c159 with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull Edens-Gate/maggemma2b-c159:Q8_0
    Run and chat with the model
    lemonade run user.maggemma2b-c159-Q8_0
    List all available models
    lemonade list
  • Atomic Chat
maggemma2b-c159
8.04 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Delta-Vector's picture
Delta-Vector
Upload folder using huggingface_hub
390aea6 verified almost 2 years ago
  • .gitattributes
    1.63 kB
    Upload folder using huggingface_hub almost 2 years ago
  • config.json
    870 Bytes
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  • generation_config.json
    189 Bytes
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  • google_gemma-2-2B-Q8_0.gguf
    2.78 GB
    xet
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  • pytorch_model-00001-of-00002.bin

    Detected Pickle imports (3)

    • "torch.HalfStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    4.99 GB
    xet
    Upload folder using huggingface_hub almost 2 years ago
  • pytorch_model-00002-of-00002.bin

    Detected Pickle imports (3)

    • "torch.HalfStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    241 MB
    xet
    Upload folder using huggingface_hub almost 2 years ago
  • pytorch_model.bin.index.json
    24.3 kB
    Upload folder using huggingface_hub almost 2 years ago
  • special_tokens_map.json
    555 Bytes
    Upload folder using huggingface_hub almost 2 years ago
  • tokenizer.json
    17.5 MB
    xet
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  • tokenizer.model
    4.24 MB
    xet
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  • tokenizer_config.json
    46.3 kB
    Upload folder using huggingface_hub almost 2 years ago