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-r025-source-checkpoint/1", | |
| "candidate_id": "BASE-MATH-R025-12M", | |
| "checkpoint_name": "checkpoint-update-00003519", | |
| "checkpoint_status": "PASS_SIGNED", | |
| "completed_updates": 3519, | |
| "expected_optimizer_updates": 3519, | |
| "adapter_file": "adapter_model.safetensors", | |
| "adapter_bytes": 639691872, | |
| "adapter_sha256": "ec394a4679e185961799a7dd40f29efb2f5dc79eace28e304392c39e2c23fd13", | |
| "adapter_sha_matches_training_checkpoint_receipt": true, | |
| "adapter_sha_matches_trainer_fix_nonmutation_receipt": true, | |
| "eval_reference": { | |
| "dynamic_lora_name": "OLMO-PATH-A-BASE-MATH-R025-12M", | |
| "checkpoint_name": "checkpoint-update-00003519", | |
| "all_240_captures_dynamic_lora_identity_match": true | |
| }, | |
| "base_revision": "996971efdc504b81f0a6caf73a6c92f976254b9c", | |
| "chat_template_sha256": "6d549883b5ed12879e191845c256a30c7dfd4eced0a4f160060a3ea0199d9e3a", | |
| "frozen_rows_sha256": "1ba8c53a70914097863de4dfb19b65246d6a4c9acc35d090a8f00f91d85f19b1", | |
| "training_config_sha256": "e592a8c066528f4735737f0f9a92aac808afc66b4a51db32d44d1762490cf78c", | |
| "source_checkpoint_receipt_sha256": "3a7917d7535d469383382cf970195ce9c9c0ccb3a9752f973b329072a7a01c66", | |
| "adapter_mutated_during_freeze": false | |
| } | |