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nhunglaaaaaaa
/
f6b124ef-9bdf-4ca2-873c-8dfadd10da74

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

Instructions to use nhunglaaaaaaa/f6b124ef-9bdf-4ca2-873c-8dfadd10da74 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use nhunglaaaaaaa/f6b124ef-9bdf-4ca2-873c-8dfadd10da74 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/zephyr-sft")
    model = PeftModel.from_pretrained(base_model, "nhunglaaaaaaa/f6b124ef-9bdf-4ca2-873c-8dfadd10da74")
  • Notebooks
  • Google Colab
  • Kaggle
f6b124ef-9bdf-4ca2-873c-8dfadd10da74
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  • 1 contributor
History: 2 commits
nhunglaaaaaaa's picture
nhunglaaaaaaa
End of training
95a5894 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.64 kB
    End of training over 1 year ago
  • adapter_config.json
    719 Bytes
    End of training over 1 year ago
  • adapter_model.bin
    84 MB
    xet
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  • adapter_model.safetensors
    83.9 MB
    xet
    End of training over 1 year ago
  • config.json
    1.23 kB
    End of training over 1 year ago
  • special_tokens_map.json
    625 Bytes
    End of training over 1 year ago
  • tokenizer.json
    3.51 MB
    End of training over 1 year ago
  • tokenizer.model
    493 kB
    xet
    End of training over 1 year ago
  • tokenizer_config.json
    1.6 kB
    End of training over 1 year ago
  • training_args.bin
    6.78 kB
    xet
    End of training over 1 year ago