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TinyPixel
/
qlora-main-2

PEFT
Model card Files Files and versions
xet
Community
1

Instructions to use TinyPixel/qlora-main-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use TinyPixel/qlora-main-2 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/CodeLlama-7B-bf16-sharded")
    model = PeftModel.from_pretrained(base_model, "TinyPixel/qlora-main-2")
  • Notebooks
  • Google Colab
  • Kaggle
qlora-main-2
1.92 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 14 commits
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librarian-bot
Librarian Bot: Add base_model information to model
683f503 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    911 Bytes
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  • adapter_config.json
    534 Bytes
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  • adapter_model.bin
    640 MB
    xet
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  • optimizer.pt
    1.28 GB
    xet
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  • rng_state.pth
    14.6 kB
    xet
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  • scheduler.pt
    627 Bytes
    xet
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  • special_tokens_map.json
    434 Bytes
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  • tokenizer.json
    1.84 MB
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  • tokenizer.model
    500 kB
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  • tokenizer_config.json
    773 Bytes
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  • trainer_state.json
    8.06 kB
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  • training_args.bin
    4.03 kB
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