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Alogotron
/
GameTheory-Reasoner

Text Generation
PEFT
Safetensors
game-theory
grpo
reinforcement-learning
reasoning
qwen2.5
lora
conversational
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Alogotron/GameTheory-Reasoner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Alogotron/GameTheory-Reasoner with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("/home/beta1/gt-training/phase1_merged")
    model = PeftModel.from_pretrained(base_model, "Alogotron/GameTheory-Reasoner")
  • Notebooks
  • Google Colab
  • Kaggle
GameTheory-Reasoner
173 MB
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  • 1 contributor
History: 2 commits
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  • .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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  • chat_template.jinja
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  • tokenizer.json
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  • tokenizer_config.json
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