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shibajustfor
/
11fa1945-dd31-4829-a3c7-7717a7e32cbe

PEFT
mistral
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("/workspace/input_data/Intel/neural-chat-7b-v3-3")
    model = PeftModel.from_pretrained(base_model, "shibajustfor/11fa1945-dd31-4829-a3c7-7717a7e32cbe")
  • Notebooks
  • Google Colab
  • Kaggle
11fa1945-dd31-4829-a3c7-7717a7e32cbe
340 MB
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  • 1 contributor
History: 2 commits
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shibajustfor
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  • .gitattributes
    1.52 kB
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  • README.md
    834 Bytes
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  • adapter_config.json
    749 Bytes
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  • adapter_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    336 MB
    xet
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  • config.json
    723 Bytes
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  • special_tokens_map.json
    624 Bytes
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  • tokenizer.json
    3.51 MB
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  • tokenizer.model
    493 kB
    xet
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  • tokenizer_config.json
    1.55 kB
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