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menesnas
/
medical_Chat

Text Generation
PEFT
Safetensors
Turkish
English
llama
lora
medical
healthcare
doctor-patient
healthcare-assistant
conversational
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

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

  • Libraries
  • PEFT

    How to use menesnas/medical_Chat with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/meta-llama-3.1-8b-instruct-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "menesnas/medical_Chat")
  • Notebooks
  • Google Colab
  • Kaggle
medical_Chat
185 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
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menesnas
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  • .gitattributes
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  • README.md
    1.59 kB
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  • adapter_config.json
    873 Bytes
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  • adapter_model.safetensors
    168 MB
    xet
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  • chat_template.jinja
    4.61 kB
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  • config.json
    1.57 kB
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  • special_tokens_map.json
    454 Bytes
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  • tokenizer.json
    17.2 MB
    xet
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  • tokenizer_config.json
    50.6 kB
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