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NewstaR
/
CNC-7b-lora

Text Generation
PEFT
English
Tagalog
mistral
lora
instruct
custom code
Model card Files Files and versions
xet
Community

Instructions to use NewstaR/CNC-7b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use NewstaR/CNC-7b-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("bn22/Mistral-7B-Instruct-v0.1-sharded")
    model = PeftModel.from_pretrained(base_model, "NewstaR/CNC-7b-lora")
  • Notebooks
  • Google Colab
  • Kaggle
CNC-7b-lora / checkpoint-51
84.3 MB
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  • 1 contributor
History: 1 commit
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  • README.md
    853 Bytes
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  • adapter_config.json
    460 Bytes
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  • adapter_model.bin
    27.3 MB
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  • optimizer.pt
    54.6 MB
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  • rng_state.pth
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  • scheduler.pt
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  • special_tokens_map.json
    434 Bytes
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  • tokenizer.json
    1.8 MB
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  • tokenizer.model
    493 kB
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  • tokenizer_config.json
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  • trainer_state.json
    545 Bytes
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  • training_args.bin
    4.54 kB
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