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RAG-Gym
/
RAG-HotpotQA-PRM

Text Classification
PEFT
Safetensors
rag-gym
retrieval-augmented-generation
agent
lora
process-supervision
reward-model
Model card Files Files and versions
xet
Community

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

  • Libraries
  • PEFT

    How to use RAG-Gym/RAG-HotpotQA-PRM with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSequenceClassification
    
    base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct")
    model = PeftModel.from_pretrained(base_model, "RAG-Gym/RAG-HotpotQA-PRM")
  • Notebooks
  • Google Colab
  • Kaggle
RAG-HotpotQA-PRM
622 MB
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  • 1 contributor
History: 3 commits
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RAG-Gym
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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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