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SteelStorage
/
L3.3-Mokume-Gane-R1-70b-lora

Transformers
Safetensors
PEFT
mergekit
Model card Files Files and versions
xet
Community

Instructions to use SteelStorage/L3.3-Mokume-Gane-R1-70b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SteelStorage/L3.3-Mokume-Gane-R1-70b-lora with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("SteelStorage/L3.3-Mokume-Gane-R1-70b-lora", dtype="auto")
  • PEFT

    How to use SteelStorage/L3.3-Mokume-Gane-R1-70b-lora with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
L3.3-Mokume-Gane-R1-70b-lora
5.42 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
Steelskull's picture
Steelskull
Upload folder using huggingface_hub
a25f050 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    636 Bytes
    Upload folder using huggingface_hub about 1 year ago
  • adapter_config.json
    767 Bytes
    Upload folder using huggingface_hub about 1 year ago
  • adapter_model.safetensors
    5.42 GB
    xet
    Upload folder using huggingface_hub about 1 year ago