Instructions to use modrill/MT11-OLMO3-THINK-OMR-R025-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use modrill/MT11-OLMO3-THINK-OMR-R025-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("allenai/Olmo-3-1025-7B") model = PeftModel.from_pretrained(base_model, "modrill/MT11-OLMO3-THINK-OMR-R025-v1") - Notebooks
- Google Colab
- Kaggle
| { | |
| "schema": "mt11-olmo3-think-omr-public-data-provenance/1", | |
| "source": { | |
| "repo_id": "nvidia/OpenMathReasoning", | |
| "revision": "d3d08664755704f422af97d43a7ff0ded4bd95df", | |
| "revision_kind": "huggingface_git_commit", | |
| "license": "cc-by-4.0", | |
| "family": "OPENMATHREASONING", | |
| "slice_id": "OMR_DSR1_COT", | |
| "selection": "COT only; DeepSeek-R1 generated solutions; no TIR/tool rows" | |
| }, | |
| "row_counts": { | |
| "accepted_after_source_audit": 4826, | |
| "selected_for_training": 4096 | |
| }, | |
| "selected_public_manifest": { | |
| "sha256": "1ba8c53a70914097863de4dfb19b65246d6a4c9acc35d090a8f00f91d85f19b1", | |
| "rows": 4096, | |
| "included_in_repository": false, | |
| "reason": "Raw rows and the complete training set are intentionally excluded; only hashes and aggregate profiles are public." | |
| }, | |
| "ordered_ids": { | |
| "included_in_repository": false | |
| }, | |
| "update_plan": { | |
| "sha256": "8b5e60c9e384e81c57433405bdcb965c00bbd806307fdf5f73e8112cd6383a66", | |
| "included_in_repository": false | |
| }, | |
| "data_profile": { | |
| "source_file_sha256": "4569c25e53fe60cd8c8bd3f3df0de8fb1b473abad6dfc0edce75e5630bd2afb7", | |
| "public_summary_file": "DATA_PROFILE.json" | |
| }, | |
| "sensitive_or_restricted_data_included": false | |
| } | |