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Alogotron
/
GameTheory-Formulator-Model

Text Generation
PEFT
Safetensors
English
game-theory
formulation
qwen2
lora
qlora
sft
economics
strategic-reasoning
math
decision-theory
conversational
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • PEFT

    How to use Alogotron/GameTheory-Formulator-Model 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, "Alogotron/GameTheory-Formulator-Model")
  • Notebooks
  • Google Colab
  • Kaggle
GameTheory-Formulator-Model
334 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Alogotron's picture
Alogotron
Add Related Work (IJCAI survey, DeepMind SHOR-PSRO) and BibTeX citation
c6c9cea verified about 2 months ago
  • .gitattributes
    1.57 kB
    Phase 3 Formulator: QLoRA adapter (r=32, alpha=64) trained on 1,215 formulation problems 5 months ago
  • README.md
    9.8 kB
    Add Related Work (IJCAI survey, DeepMind SHOR-PSRO) and BibTeX citation about 2 months ago
  • adapter_config.json
    1.06 kB
    Phase 3 Formulator: QLoRA adapter (r=32, alpha=64) trained on 1,215 formulation problems 5 months ago
  • adapter_model.safetensors
    323 MB
    xet
    Phase 3 Formulator: QLoRA adapter (r=32, alpha=64) trained on 1,215 formulation problems 5 months ago
  • chat_template.jinja
    2.51 kB
    Phase 3 Formulator: QLoRA adapter (r=32, alpha=64) trained on 1,215 formulation problems 5 months ago
  • eval_results.json
    7.09 kB
    Phase 3 Formulator: QLoRA adapter (r=32, alpha=64) trained on 1,215 formulation problems 5 months ago
  • tokenizer.json
    11.4 MB
    xet
    Phase 3 Formulator: QLoRA adapter (r=32, alpha=64) trained on 1,215 formulation problems 5 months ago
  • tokenizer_config.json
    665 Bytes
    Phase 3 Formulator: QLoRA adapter (r=32, alpha=64) trained on 1,215 formulation problems 5 months ago
  • training_args.bin
    5.65 kB
    xet
    Phase 3 Formulator: QLoRA adapter (r=32, alpha=64) trained on 1,215 formulation problems 5 months ago
  • training_stats.json
    739 Bytes
    Phase 3 Formulator: QLoRA adapter (r=32, alpha=64) trained on 1,215 formulation problems 5 months ago