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danielhanchen
/
unsloth-blackwell-docker

docker
unsloth
blackwell
cuda
finetuning
Model card Files Files and versions
xet
Community
1

Instructions to use danielhanchen/unsloth-blackwell-docker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Local Apps Settings
  • Unsloth Studio

    How to use danielhanchen/unsloth-blackwell-docker 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 danielhanchen/unsloth-blackwell-docker 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 danielhanchen/unsloth-blackwell-docker to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for danielhanchen/unsloth-blackwell-docker to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="danielhanchen/unsloth-blackwell-docker",
        max_seq_length=2048,
    )
unsloth-blackwell-docker
19.6 GB
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  • 1 contributor
History: 1 commit
danielhanchen's picture
danielhanchen
Super-squash branch 'main' using huggingface_hub
34db2bc 28 days ago
  • .gitattributes
    1.52 kB
    Super-squash branch 'main' using huggingface_hub 28 days ago
  • README.md
    5.99 kB
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  • unsloth-blackwell-base.tar.gz
    8.3 GB
    xet
    Super-squash branch 'main' using huggingface_hub 28 days ago
  • unsloth-blackwell-studio.tar.gz
    11.3 GB
    xet
    Super-squash branch 'main' using huggingface_hub 28 days ago