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prl90777
/
phi4_instruct_20250902_0749

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

Instructions to use prl90777/phi4_instruct_20250902_0749 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use prl90777/phi4_instruct_20250902_0749 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSequenceClassification
    
    base_model = AutoModelForSequenceClassification.from_pretrained("microsoft/Phi-4-mini-instruct")
    model = PeftModel.from_pretrained(base_model, "prl90777/phi4_instruct_20250902_0749")
  • Transformers

    How to use prl90777/phi4_instruct_20250902_0749 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("prl90777/phi4_instruct_20250902_0749", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
phi4_instruct_20250902_0749
115 MB
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  • 1 contributor
History: 2 commits
prl90777's picture
prl90777
Model save
0fb6b14 verified 11 months ago
  • .gitattributes
    1.57 kB
    Model save 11 months ago
  • README.md
    2.82 kB
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  • adapter_config.json
    932 Bytes
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  • adapter_model.safetensors
    93.1 MB
    xet
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  • added_tokens.json
    249 Bytes
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  • chat_template.jinja
    423 Bytes
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  • merges.txt
    2.42 MB
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  • special_tokens_map.json
    587 Bytes
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  • tokenizer.json
    15.5 MB
    xet
    Model save 11 months ago
  • tokenizer_config.json
    2.52 kB
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  • training_args.bin
    5.78 kB
    xet
    Model save 11 months ago
  • vocab.json
    3.91 MB
    Model save 11 months ago