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AiLLMBS
/
phi35-medquad-patient-explainer-lora

Text Generation
PEFT
Safetensors
English
lora
qlora
phi-3.5
medquad
biomedical-nlp
patient-education
plain-language
source-grounded
conversational
Model card Files Files and versions
xet
Community

Instructions to use AiLLMBS/phi35-medquad-patient-explainer-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use AiLLMBS/phi35-medquad-patient-explainer-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3.5-mini-instruct")
    model = PeftModel.from_pretrained(base_model, "AiLLMBS/phi35-medquad-patient-explainer-lora")
  • Notebooks
  • Google Colab
  • Kaggle
phi35-medquad-patient-explainer-lora
104 MB
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  • 1 contributor
History: 2 commits
AiLLMBS's picture
AiLLMBS
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  • evaluation
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  • .gitattributes
    1.52 kB
    initial commit 5 days ago
  • README.md
    6.79 kB
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  • adapter_config.json
    1.12 kB
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  • adapter_model.safetensors
    101 MB
    xet
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  • chat_template.jinja
    437 Bytes
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  • tokenizer.json
    3.62 MB
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  • tokenizer_config.json
    427 Bytes
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