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eltokh7
/
lory-4b

Text Classification
PEFT
Safetensors
decision-model
simulated-respondents
survey-simulation
economics
edsl
preview
Model card Files Files and versions
xet
Community

Instructions to use eltokh7/lory-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use eltokh7/lory-4b with PEFT:

    from peft import PeftModel
    from transformers import AutoModel
    
    base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-4B-Base")
    model = PeftModel.from_pretrained(base_model, "eltokh7/lory-4b")
  • Notebooks
  • Google Colab
  • Kaggle
lory-4b
155 MB
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  • 1 contributor
History: 3 commits
eltokh7's picture
eltokh7
Model card
703110e verified about 4 hours ago
  • .gitattributes
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
    130 MB
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  • chat_template.jinja
    7.76 kB
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  • edsl_decision.py
    5.09 kB
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  • head.pt
    5.25 MB
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  • tokenizer.json
    20 MB
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  • tokenizer_config.json
    1.13 kB
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  • training_config.json
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  • training_metrics.json
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