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luonghuuthanhnam5
/
Llama-2-7b-chat-hf-fine-tuned-adapters

PEFT
llama
Model card Files Files and versions
xet
Community
1

Instructions to use luonghuuthanhnam5/Llama-2-7b-chat-hf-fine-tuned-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use luonghuuthanhnam5/Llama-2-7b-chat-hf-fine-tuned-adapters with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf")
    model = PeftModel.from_pretrained(base_model, "luonghuuthanhnam5/Llama-2-7b-chat-hf-fine-tuned-adapters")
  • Notebooks
  • Google Colab
  • Kaggle
Llama-2-7b-chat-hf-fine-tuned-adapters
86.3 MB
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  • 1 contributor
History: 7 commits
luonghuuthanhnam5's picture
luonghuuthanhnam5
Upload model
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  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • README.md
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  • adapter_config.json
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  • adapter_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    84 MB
    xet
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  • config.json
    614 Bytes
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  • tokenizer.json
    1.84 MB
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  • tokenizer.model
    500 kB
    xet
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  • tokenizer_config.json
    776 Bytes
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