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mrHunghddddd
/
c21742e5-e32e-4c86-b68d-70f009a601df

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

Instructions to use mrHunghddddd/c21742e5-e32e-4c86-b68d-70f009a601df with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use mrHunghddddd/c21742e5-e32e-4c86-b68d-70f009a601df with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v0.6")
    model = PeftModel.from_pretrained(base_model, "mrHunghddddd/c21742e5-e32e-4c86-b68d-70f009a601df")
  • Notebooks
  • Google Colab
  • Kaggle
c21742e5-e32e-4c86-b68d-70f009a601df
54.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
mrHunghddddd's picture
mrHunghddddd
End of training
20977fd verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.69 kB
    End of training over 1 year ago
  • adapter_config.json
    735 Bytes
    End of training over 1 year ago
  • adapter_model.bin
    25.3 MB
    xet
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  • adapter_model.safetensors
    25.3 MB
    xet
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  • config.json
    1.25 kB
    End of training over 1 year ago
  • special_tokens_map.json
    551 Bytes
    End of training over 1 year ago
  • tokenizer.json
    3.62 MB
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  • tokenizer.model
    500 kB
    xet
    End of training over 1 year ago
  • tokenizer_config.json
    1.43 kB
    End of training over 1 year ago
  • training_args.bin
    6.78 kB
    xet
    End of training over 1 year ago