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nblinh
/
3ec3258e-7937-4f64-9fbd-8604e70f8bd5

PEFT
Safetensors
qwen2
axolotl
Generated from Trainer
8-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use nblinh/3ec3258e-7937-4f64-9fbd-8604e70f8bd5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use nblinh/3ec3258e-7937-4f64-9fbd-8604e70f8bd5 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B")
    model = PeftModel.from_pretrained(base_model, "nblinh/3ec3258e-7937-4f64-9fbd-8604e70f8bd5")
  • Notebooks
  • Google Colab
  • Kaggle
3ec3258e-7937-4f64-9fbd-8604e70f8bd5
86.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
nblinh's picture
nblinh
End of training
3c15ece verified over 1 year ago
  • .gitattributes
    1.57 kB
    End of training over 1 year ago
  • README.md
    3.57 kB
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  • adapter_config.json
    720 Bytes
    End of training over 1 year ago
  • adapter_model.bin
    35.3 MB
    xet
    End of training over 1 year ago
  • adapter_model.safetensors
    35.2 MB
    xet
    End of training over 1 year ago
  • added_tokens.json
    107 Bytes
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  • config.json
    1.28 kB
    End of training over 1 year ago
  • merges.txt
    1.67 MB
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  • special_tokens_map.json
    370 Bytes
    End of training over 1 year ago
  • tokenizer.json
    11.4 MB
    xet
    End of training over 1 year ago
  • tokenizer_config.json
    1.66 kB
    End of training over 1 year ago
  • training_args.bin
    6.78 kB
    xet
    End of training over 1 year ago
  • vocab.json
    2.78 MB
    End of training over 1 year ago