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
File size: 905 Bytes
3103783 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | {
"status": "NO-GO",
"all22": {
"corrected_exact": 4,
"n": 22,
"parser": 22,
"unsafe": 0
},
"holdout18": {
"corrected_exact": 1,
"n": 18
},
"canary4": {
"corrected_exact": 3,
"n": 4
},
"audit_sha256": "aeb63952d78a132cbe24f4c9238b1c305737c243a51e337c67d5ec08150fe391",
"comparison_payload_sha256": "837360593b1fdee9205166cf59d7d091b5992c33a8488d013b3283f6da5b7b8d",
"comparison_signature": {
"algorithm": "Ed25519",
"public_key_base64": "VEQy27ukhgP7vMlIFwRBVYBgXM0RvFXPrOmQ2cnLOmU=",
"signature_base64": "ZEVKmswS+H8sLkrVO3ZFi/OftAUACZNn7h4qH7F2EK2cGzniGMisvAtH/n8wziW5xf40/HylwBEh4HqNGrcmDg=="
},
"paired_stage2": {
"all22_mcnemar_exact_two_sided_p": 0.0625,
"holdout18_mcnemar_exact_two_sided_p": 0.125,
"interpretation": "Practically material and directionally strong regression, but not conclusive at alpha 0.05."
}
}
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