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nluai
/
test_format3

PEFT
TensorBoard
Safetensors
mpt
custom_code
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use nluai/test_format3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use nluai/test_format3 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("vinai/PhoGPT-4B-Chat")
    model = PeftModel.from_pretrained(base_model, "nluai/test_format3")
  • Notebooks
  • Google Colab
  • Kaggle
test_format3
2.93 GB
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  • 1 contributor
History: 15 commits
nluai's picture
nluai
Upload adapter_config.json with huggingface_hub
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  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.09 kB
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  • adapter_config.json
    695 Bytes
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  • adapter_model.safetensors
    201 MB
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  • config.json
    2.22 kB
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  • generation_config.json
    91 Bytes
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  • model.safetensors
    2.33 GB
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  • optimizer.pt
    403 MB
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  • rng_state.pth
    14.2 kB
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  • scheduler.pt
    1.06 kB
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  • special_tokens_map.json
    437 Bytes
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  • tokenizer.json
    844 kB
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  • tokenizer_config.json
    1.55 kB
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  • trainer_state.json
    2.32 kB
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  • training_args.bin
    5.43 kB
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