Instructions to use FluffyAIcode/Kakeya-OProver-Stage3-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FluffyAIcode/Kakeya-OProver-Stage3-DPO 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-Stage3-DPO") - Notebooks
- Google Colab
- Kaggle
| { | |
| "schema_version": 1, | |
| "public_repo": "FluffyAIcode/Kakeya-OProver-Stage3-DPO", | |
| "base_model": "m-a-p/OProver-8B", | |
| "base_revision": "cd9ffd383b584d95bf00e04b88b35b05928b211c", | |
| "source_private_repo": "FluffyAIcode/oprover-8b-mathlib-lora-stage1", | |
| "source_immutable_revision": "c3b684ce7729ec94305deac4fbc5fd506c7f79a6", | |
| "adapter_sha256": "064fb996230352ae12fd326944e8c5696edc22c36d34fc710805cb5aa2a3f9e3", | |
| "dataset_artifact_sha256": "2de80cfbb1c5e14c89611810e02b9f432ec2643a203e4c983cd48b1e6ad919a3", | |
| "public_private_boundary": { | |
| "public": [ | |
| "adapter", | |
| "tokenizer", | |
| "sanitized metrics/trainer state", | |
| "aggregate strict evaluation", | |
| "hashes/signatures/config" | |
| ], | |
| "private": [ | |
| "chain-of-thought", | |
| "production prompts", | |
| "Jensen candidate proof bodies", | |
| "raw candidate-bearing signed audits", | |
| "optimizer and RNG checkpoints" | |
| ] | |
| } | |
| } | |