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Edens-Gate
/
MagGemma-2b

PyTorch
GGUF
gemma2
Model card Files Files and versions
xet
Community

Instructions to use Edens-Gate/MagGemma-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • llama-cpp-python

    How to use Edens-Gate/MagGemma-2b with llama-cpp-python:

    # !pip install llama-cpp-python
    
    from llama_cpp import Llama
    
    llm = Llama.from_pretrained(
    	repo_id="Edens-Gate/MagGemma-2b",
    	filename="google_gemma-2-2B-Q8_0.gguf",
    )
    
    output = llm(
    	"Once upon a time,",
    	max_tokens=512,
    	echo=True
    )
    print(output)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • llama.cpp

    How to use Edens-Gate/MagGemma-2b with llama.cpp:

    Install from brew
    brew install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf Edens-Gate/MagGemma-2b:Q8_0
    # Run inference directly in the terminal:
    llama-cli -hf Edens-Gate/MagGemma-2b:Q8_0
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama-server -hf Edens-Gate/MagGemma-2b:Q8_0
    # Run inference directly in the terminal:
    llama-cli -hf Edens-Gate/MagGemma-2b: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/MagGemma-2b:Q8_0
    # Run inference directly in the terminal:
    ./llama-cli -hf Edens-Gate/MagGemma-2b: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/MagGemma-2b:Q8_0
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf Edens-Gate/MagGemma-2b:Q8_0
    Use Docker
    docker model run hf.co/Edens-Gate/MagGemma-2b:Q8_0
  • LM Studio
  • Jan
  • Ollama

    How to use Edens-Gate/MagGemma-2b with Ollama:

    ollama run hf.co/Edens-Gate/MagGemma-2b:Q8_0
  • Unsloth Studio new

    How to use Edens-Gate/MagGemma-2b 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/MagGemma-2b 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/MagGemma-2b 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/MagGemma-2b to start chatting
  • Docker Model Runner

    How to use Edens-Gate/MagGemma-2b with Docker Model Runner:

    docker model run hf.co/Edens-Gate/MagGemma-2b:Q8_0
  • Lemonade

    How to use Edens-Gate/MagGemma-2b with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull Edens-Gate/MagGemma-2b:Q8_0
    Run and chat with the model
    lemonade run user.MagGemma-2b-Q8_0
    List all available models
    lemonade list
MagGemma-2b
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  • 1 contributor
History: 2 commits
Delta-Vector's picture
Delta-Vector
Upload folder using huggingface_hub
dd7fd70 verified over 1 year ago
  • .gitattributes
    1.63 kB
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  • 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
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  • pytorch_model-00002-of-00002.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    241 MB
    xet
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  • pytorch_model.bin.index.json
    24.3 kB
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  • special_tokens_map.json
    555 Bytes
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  • 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
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