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Canarie
/
Soaring-8b-lora

PEFT
Safetensors
llama-factory
lora
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Canarie/Soaring-8b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Canarie/Soaring-8b-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct")
    model = PeftModel.from_pretrained(base_model, "Canarie/Soaring-8b-lora")
  • Notebooks
  • Google Colab
  • Kaggle
Soaring-8b-lora
93.1 MB
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  • 1 contributor
History: 3 commits
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minnmamin
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  • .gitattributes
    1.52 kB
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  • README.md
    1.33 kB
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  • adapter_config.json
    736 Bytes
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  • adapter_model.safetensors
    83.9 MB
    xet
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  • all_results.json
    258 Bytes
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  • llamaboard_config.yaml
    1.66 kB
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  • special_tokens_map.json
    325 Bytes
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  • tokenizer.json
    9.09 MB
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  • tokenizer_config.json
    51 kB
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