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baglecake
/
ces-phase3a-lora

Text Generation
PEFT
Safetensors
English
llama
lora
political-science
survey-replication
canadian-election-study
unsloth
conversational
Model card Files Files and versions
xet
Community

Instructions to use baglecake/ces-phase3a-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use baglecake/ces-phase3a-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/meta-llama-3.1-8b-instruct-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "baglecake/ces-phase3a-lora")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
ces-phase3a-lora / checkpoint-2000
524 MB
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  • 1 contributor
History: 1 commit
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baglecake
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78f0200 verified 11 months ago
  • README.md
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  • adapter_config.json
    1.21 kB
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  • adapter_model.safetensors
    336 MB
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  • chat_template.jinja
    4.61 kB
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  • optimizer.pt
    171 MB
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  • rng_state.pth
    14.6 kB
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  • scheduler.pt
    1.47 kB
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  • special_tokens_map.json
    454 Bytes
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  • tokenizer.json
    17.2 MB
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  • tokenizer_config.json
    50.6 kB
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  • trainer_state.json
    7.76 kB
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  • training_args.bin
    6.23 kB
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