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ndavidson
/
phi-3.1-alpaca

PEFT
TensorBoard
Safetensors
Habana
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use ndavidson/phi-3.1-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use ndavidson/phi-3.1-alpaca with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-4k-instruct")
    model = PeftModel.from_pretrained(base_model, "ndavidson/phi-3.1-alpaca")
  • Notebooks
  • Google Colab
  • Kaggle
phi-3.1-alpaca
9.12 MB
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  • 1 contributor
History: 2 commits
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ndavidson
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  • runs
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  • .gitattributes
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  • README.md
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  • adapter_config.json
    740 Bytes
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  • adapter_model.safetensors
    5.78 MB
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  • added_tokens.json
    293 Bytes
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  • all_results.json
    568 Bytes
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  • eval_results.json
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  • gaudi_config.json
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  • special_tokens_map.json
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  • tokenizer.json
    1.84 MB
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  • tokenizer.model
    500 kB
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  • tokenizer_config.json
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  • train_results.json
    326 Bytes
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  • training_args.bin
    5.56 kB
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