Instructions to use FluffyAIcode/Kakeya-OProver-Stage2-SFT1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FluffyAIcode/Kakeya-OProver-Stage2-SFT1000 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("m-a-p/OProver-8B") model = PeftModel.from_pretrained(base_model, "FluffyAIcode/Kakeya-OProver-Stage2-SFT1000") - Notebooks
- Google Colab
- Kaggle
File size: 269 Bytes
dc75d2b | 1 2 3 4 | Kakeya OProver LoRA derivative, 2026 FluffyAIcode.
Base model: m-a-p/OProver-8B, Apache-2.0, revision cd9ffd383b584d95bf00e04b88b35b05928b211c.
Training material derives from leanprover-community/mathlib4, Apache-2.0, revision 360da6fa66c1273b76b6b2d8c5666fd5ac2e3b56.
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