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somosnlp-hackathon-2026
/
chaskiayuda-model-dpo

Text Generation
PEFT
Safetensors
Spanish
dpo
qlora
alignment
humanitarian
peru
disaster-response
somosnlp-hackathon-2026
conversational
Model card Files Files and versions
xet
Community

Instructions to use somosnlp-hackathon-2026/chaskiayuda-model-dpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use somosnlp-hackathon-2026/chaskiayuda-model-dpo with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct")
    model = PeftModel.from_pretrained(base_model, "somosnlp-hackathon-2026/chaskiayuda-model-dpo")
  • Notebooks
  • Google Colab
  • Kaggle
chaskiayuda-model-dpo
92.8 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
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ayayon
Create README.md
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  • adapter_config.json
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  • adapter_model.safetensors
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  • chaskiayuda_post_train-dpo.ipynb
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  • tokenizer.json
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  • tokenizer_config.json
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