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
File size: 1,236 Bytes
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"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",
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"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
},
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"training_config_sha256": "e592a8c066528f4735737f0f9a92aac808afc66b4a51db32d44d1762490cf78c",
"source_checkpoint_receipt_sha256": "3a7917d7535d469383382cf970195ce9c9c0ccb3a9752f973b329072a7a01c66",
"adapter_mutated_during_freeze": false
}
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