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MCMZ10
/
Qwen2.5-7B-Banking77-Router-QLoRA

Text Generation
PEFT
Safetensors
English
qlora
lora
intent-classification
banking77
aegis
conversational
Model card Files Files and versions
xet
Community

Instructions to use MCMZ10/Qwen2.5-7B-Banking77-Router-QLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use MCMZ10/Qwen2.5-7B-Banking77-Router-QLoRA with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("/root/ml/Qwen2.5-7B-Instruct")
    model = PeftModel.from_pretrained(base_model, "MCMZ10/Qwen2.5-7B-Banking77-Router-QLoRA")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen2.5-7B-Banking77-Router-QLoRA
177 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
MCMZ10's picture
MCMZ10
QLoRA Banking77 intent router adapter + model card
806c582 verified 2 days ago
  • .gitattributes
    1.57 kB
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  • README.md
    3.06 kB
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  • adapter_config.json
    731 Bytes
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  • adapter_model.safetensors
    162 MB
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  • added_tokens.json
    605 Bytes
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  • merges.txt
    1.67 MB
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  • special_tokens_map.json
    613 Bytes
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
    7.31 kB
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  • training_args.bin
    5.62 kB
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  • vocab.json
    2.78 MB
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