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9sub
/
llama3_10epoch_no_quantize

PEFT
PyTorch
Safetensors
llama
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use 9sub/llama3_10epoch_no_quantize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use 9sub/llama3_10epoch_no_quantize with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("MLP-KTLim/llama-3-Korean-Bllossom-8B")
    model = PeftModel.from_pretrained(base_model, "9sub/llama3_10epoch_no_quantize")
  • Notebooks
  • Google Colab
  • Kaggle
llama3_10epoch_no_quantize
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  • 1 contributor
History: 4 commits
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9sub
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  • .gitattributes
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    initial commit over 1 year ago
  • README.md
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  • adapter_config.json
    661 Bytes
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  • adapter_model.safetensors
    109 MB
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  • config.json
    1.21 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.ByteStorage",
    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    8.24 GB
    xet
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  • special_tokens_map.json
    325 Bytes
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  • tokenizer.json
    9.09 MB
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  • tokenizer_config.json
    51.1 kB
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