Text Generation
PEFT
Safetensors
English
game-theory
formulation
qwen2
lora
qlora
sft
economics
strategic-reasoning
math
decision-theory
conversational
Eval Results (legacy)
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
- Xet hash:
- 2923ea69b25fed70d3f10e18ccd8881ddad89a1384c1eef5b79ce8f29534dc84
- Size of remote file:
- 5.65 kB
- SHA256:
- b6bda26c65a0dedb3a99b67c3ffd9ca1a721e10265bf5f71fd8a685eb32e8f7a
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