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kurtn718
/
scrambled_multiple_choice

PEFT
Safetensors
mistral
8-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use kurtn718/scrambled_multiple_choice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use kurtn718/scrambled_multiple_choice with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("alexsherstinsky/Mistral-7B-v0.1-sharded")
    model = PeftModel.from_pretrained(base_model, "kurtn718/scrambled_multiple_choice")
  • Notebooks
  • Google Colab
  • Kaggle
scrambled_multiple_choice
29.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
kurtn718's picture
kurtn718
Upload 2 files
6f8a144 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    5.51 kB
    Upload trained [Ludwig](https://ludwig.ai/latest/) model weights over 2 years ago
  • adapter_config.json
    591 Bytes
    Upload trained [Ludwig](https://ludwig.ai/latest/) model weights over 2 years ago
  • adapter_model.bin
    13.7 MB
    xet
    Upload trained [Ludwig](https://ludwig.ai/latest/) model weights over 2 years ago
  • adapter_model.safetensors
    13.6 MB
    xet
    Upload trained [Ludwig](https://ludwig.ai/latest/) model weights over 2 years ago
  • config.json
    1.01 kB
    Upload config.json over 2 years ago
  • tokenizer.json
    1.8 MB
    Upload 2 files over 2 years ago
  • tokenizer_config.json
    981 Bytes
    Upload 2 files over 2 years ago