Instructions to use lupele/rewardmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lupele/rewardmodel with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 1,141 Bytes
6a0c087 | 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 31 32 33 34 35 36 37 38 | {
"schema": "stateplay-formal-model-publication-v1",
"repo": "lupele/rewardmodel",
"created_at": "2026-10-22T01:22:28.623799+00:00",
"kind": "formal_selected_reward_model",
"version": "28befdbd2782031fe8d67975",
"optimizer_step": 132,
"smoke": false,
"adapter_sha256": "81078f22d9cbdddde35f1c818d53bdf079316d88f30ca7ad63dc99e0c0e605e6",
"base_model": "Qwen/Qwen3.5-9B",
"base_revision": "c202236235762e1c871ad0ccb60c8ee5ba337b9a",
"training_state": {
"source_sha256": "70fdf96a91c23114bed6865114438acca4d1dc6289a035f869dd11b571633c58",
"published_sha256": "c34c3a00110369181c5c63ac8d2881316c92165afe31fa89a0e2f0510f77a405",
"metadata_only_changes": [
"/config/reward/endpoint",
"/config/reward_model/inference_url",
"/config/config_hash"
],
"preserved_exactly": [
"optimizer",
"scheduler",
"step",
"rng",
"rank_rng",
"buffers",
"accumulation",
"world_size",
"total_steps",
"backend",
"dataset_hash",
"smoke"
],
"all_parameters_optimizer_rng_exactly_equal": true
},
"manual_review_pending": true
}
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