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lhong4759
/
fa7f924e-5e9a-4b7a-9cf1-36a037cfd92c

PEFT
Safetensors
llama
axolotl
Generated from Trainer
8-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use lhong4759/fa7f924e-5e9a-4b7a-9cf1-36a037cfd92c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use lhong4759/fa7f924e-5e9a-4b7a-9cf1-36a037cfd92c with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Orenguteng/Llama-3-8B-Lexi-Uncensored")
    model = PeftModel.from_pretrained(base_model, "lhong4759/fa7f924e-5e9a-4b7a-9cf1-36a037cfd92c")
  • Notebooks
  • Google Colab
  • Kaggle
fa7f924e-5e9a-4b7a-9cf1-36a037cfd92c
185 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
lhong4759's picture
lhong4759
End of training
40b8ec4 verified over 1 year ago
  • .gitattributes
    1.57 kB
    End of training over 1 year ago
  • README.md
    3.75 kB
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  • adapter_config.json
    738 Bytes
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  • adapter_model.bin
    84 MB
    xet
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  • adapter_model.safetensors
    83.9 MB
    xet
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  • config.json
    1.27 kB
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  • special_tokens_map.json
    444 Bytes
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  • tokenizer.json
    17.2 MB
    xet
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  • tokenizer_config.json
    51.1 kB
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  • training_args.bin
    6.78 kB
    xet
    End of training over 1 year ago