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hardcoded74
/
tlc-gemma-4-e4b-hunter-lora

PEFT
Safetensors
English
lora
gemma-4
education
lesson-planning
tlc
Model card Files Files and versions
xet
Community

Instructions to use hardcoded74/tlc-gemma-4-e4b-hunter-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use hardcoded74/tlc-gemma-4-e4b-hunter-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-e4b-it")
    model = PeftModel.from_pretrained(base_model, "hardcoded74/tlc-gemma-4-e4b-hunter-lora")
  • Notebooks
  • Google Colab
  • Kaggle
tlc-gemma-4-e4b-hunter-lora
102 MB
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  • 1 contributor
History: 2 commits
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hardcoded74
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  • .gitattributes
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
    69.8 MB
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  • chat_template.jinja
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  • tokenizer.json
    32.2 MB
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  • tokenizer_config.json
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