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mariamoracrossitcr
/
Llama-3.1-8B-medquad-V2

Question Answering
PEFT
Safetensors
QA
text-generation
trl
sft
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use mariamoracrossitcr/Llama-3.1-8B-medquad-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use mariamoracrossitcr/Llama-3.1-8B-medquad-V2 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B")
    model = PeftModel.from_pretrained(base_model, "mariamoracrossitcr/Llama-3.1-8B-medquad-V2")
  • Notebooks
  • Google Colab
  • Kaggle
Llama-3.1-8B-medquad-V2
353 MB
Ctrl+K
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  • 1 contributor
History: 21 commits
mariamoracrossitcr's picture
mariamoracrossitcr
End of training
0b41b57 verified over 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
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  • adapter_config.json
    726 Bytes
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  • adapter_model.safetensors
    336 MB
    xet
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  • all_results.json
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  • eval_results.json
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  • special_tokens_map.json
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  • tokenizer.json
    17.2 MB
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  • tokenizer_config.json
    50.5 kB
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  • train_results.json
    222 Bytes
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  • trainer_state.json
    7.96 kB
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  • training_args.bin
    5.43 kB
    xet
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