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Pothong
/
cognitive-qg-llama2-lora

PEFT
Safetensors
qlora
cognitive-analysis
question-generation
instruction-tuning
facione-framework
Model card Files Files and versions
xet
Community

Instructions to use Pothong/cognitive-qg-llama2-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Pothong/cognitive-qg-llama2-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf")
    model = PeftModel.from_pretrained(base_model, "Pothong/cognitive-qg-llama2-lora")
  • Notebooks
  • Google Colab
  • Kaggle
cognitive-qg-llama2-lora
160 MB
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  • 1 contributor
History: 4 commits
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Pothong
Upload README.md with huggingface_hub
75376cd verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    1.92 kB
    Upload README.md with huggingface_hub 6 months ago
  • adapter_config.json
    940 Bytes
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  • adapter_model.safetensors
    160 MB
    xet
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  • chat_template.jinja
    815 Bytes
    Upload tokenizer 6 months ago
  • special_tokens_map.json
    414 Bytes
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  • tokenizer.model
    500 kB
    xet
    Upload tokenizer 6 months ago
  • tokenizer_config.json
    1.02 kB
    Upload tokenizer 6 months ago