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RAG-Gym
/
Direct-HotpotQA-SFT

Text Generation
PEFT
Safetensors
rag-gym
retrieval-augmented-generation
agent
lora
process-supervision
search-agent
conversational
Model card Files Files and versions
xet
Community

Instructions to use RAG-Gym/Direct-HotpotQA-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use RAG-Gym/Direct-HotpotQA-SFT 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, "RAG-Gym/Direct-HotpotQA-SFT")
  • Notebooks
  • Google Colab
  • Kaggle
Direct-HotpotQA-SFT
621 MB
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  • 1 contributor
History: 3 commits
RAG-Gym's picture
RAG-Gym
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c124e07 verified 28 days ago
  • .gitattributes
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • trainer_state.json
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  • training_args.bin
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