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whosouravsharma
/
paper-qa-lora

Text Generation
PEFT
Safetensors
English
lora
qlora
question-answering
rag
grounded-generation
conversational
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use whosouravsharma/paper-qa-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use whosouravsharma/paper-qa-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct")
    model = PeftModel.from_pretrained(base_model, "whosouravsharma/paper-qa-lora")
  • Notebooks
  • Google Colab
  • Kaggle
paper-qa-lora
20.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
whosouravsharma's picture
whosouravsharma
Model card: v2 evaluation, known training-data issue, training details
0d7e981 verified 9 days ago
  • images
    Model card: v2 evaluation, known training-data issue, training details 9 days ago
  • .gitattributes
    1.57 kB
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  • README.md
    15.7 kB
    Model card: v2 evaluation, known training-data issue, training details 9 days ago
  • adapter_config.json
    1.11 kB
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  • adapter_model.safetensors
    8.75 MB
    xet
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  • chat_template.jinja
    2.51 kB
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  • eval_metrics.json
    270 Bytes
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  • loss_curve.json
    14.3 kB
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  • state.json
    914 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    694 Bytes
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