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wza
/
llama-7b-lora-fin-2epoch

PEFT
Model card Files Files and versions
xet
Community

Instructions to use wza/llama-7b-lora-fin-2epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use wza/llama-7b-lora-fin-2epoch with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("llama-7b-hf")
    model = PeftModel.from_pretrained(base_model, "wza/llama-7b-lora-fin-2epoch")
  • Notebooks
  • Google Colab
  • Kaggle
llama-7b-lora-fin-2epoch
9.33 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
wza's picture
wza
uplaod
fbbe002 over 3 years ago
  • .gitattributes
    1.52 kB
    initial commit over 3 years ago
  • README.md
    27 Bytes
    uplaod over 3 years ago
  • adapter_config.json
    408 Bytes
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  • adapter_model.bin
    8.43 MB
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  • latest
    15 Bytes
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  • rng_state_0.pth
    21.7 kB
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  • rng_state_1.pth
    21.7 kB
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  • rng_state_2.pth
    21.7 kB
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  • rng_state_3.pth
    21.7 kB
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  • rng_state_4.pth
    21.7 kB
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  • rng_state_5.pth
    21.7 kB
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  • rng_state_6.pth
    21.7 kB
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  • rng_state_7.pth
    21.7 kB
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  • special_tokens_map.json
    96 Bytes
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  • tokenizer.model
    500 kB
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  • tokenizer_config.json
    727 Bytes
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  • trainer_state.json
    191 kB
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  • training_args.bin
    5.82 kB
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  • zero_to_fp32.py
    23.6 kB
    uplaod over 3 years ago