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-evalscope-exact240-contract/1", | |
| "contract_id": "OLMO3_THINK_EXACT240_BATCH32", | |
| "eval_path": "A", | |
| "framework": "EvalScope 1.9.1 CLI via frozen OLMo capture proxy", | |
| "score_authority": "EvalScope 1.9.1 generated review rows", | |
| "datasets": { | |
| "aime24_plus_aime25_unique_items": 60, | |
| "seeds": [ | |
| 42, | |
| 43, | |
| 44, | |
| 45 | |
| ], | |
| "review_identities": 240, | |
| "identity_basis": "seed+dataset+index" | |
| }, | |
| "sampling": { | |
| "temperature": 0.6, | |
| "top_p": 0.95, | |
| "top_k": 20, | |
| "n_per_request": 1 | |
| }, | |
| "runtime": { | |
| "dynamic_lora": true, | |
| "merged": false, | |
| "formal_eval_batch_size": 32, | |
| "max_num_seqs": 32, | |
| "enable_chunked_prefill": true, | |
| "max_model_len": 32768, | |
| "reserve_tokens": 64, | |
| "max_tokens_rule": "32768 - exact_prompt_tokens - 64", | |
| "stop_token_ids": [ | |
| 100265, | |
| 100257 | |
| ], | |
| "template_sha256": "6d549883b5ed12879e191845c256a30c7dfd4eced0a4f160060a3ea0199d9e3a" | |
| }, | |
| "formal_result": { | |
| "candidate_correct": 46, | |
| "candidate_total": 240, | |
| "candidate_accuracy": 0.19166666666666668, | |
| "fresh_base_correct": 41, | |
| "fresh_base_total": 240, | |
| "paired": { | |
| "wins": 19, | |
| "losses": 14, | |
| "ties": 207 | |
| }, | |
| "status": "PASS_POSITIVE_SIGNAL" | |
| }, | |
| "contract_checks": { | |
| "candidate_identity_240": true, | |
| "fresh_base_identity_240": true, | |
| "cursor_identity_pass": true, | |
| "captures_240": true, | |
| "dynamic_prompt_budget": true, | |
| "double_stop": true, | |
| "official_template": true, | |
| "dynamic_lora": true, | |
| "fresh_base_independently_recomputed_41": true | |
| }, | |
| "corrected_termination_diagnostics": { | |
| "cap_definition": "prediction choice stop_reason/finish_reason in {max_tokens, length}", | |
| "natural_stop_definition": "prediction choice stop_reason/finish_reason == stop", | |
| "candidate": { | |
| "cap": 162, | |
| "cap_correct": 3, | |
| "natural_stop": 78, | |
| "natural_stop_correct": 43 | |
| }, | |
| "fresh_base": { | |
| "cap": 159, | |
| "cap_correct": 0, | |
| "natural_stop": 81, | |
| "natural_stop_correct": 41 | |
| }, | |
| "historical_diagnostic_correction": "The matched120 helper counted only the literal value length, while this runtime emitted max_tokens. Its zero-cap field is therefore not reused. This correction changes termination diagnostics only and does not alter formal scores." | |
| }, | |
| "boxed_diagnostics": { | |
| "candidate_literal_boxed_outputs": 66, | |
| "candidate_literal_boxed_and_formally_correct": 44, | |
| "fresh_base_literal_boxed_outputs": 63, | |
| "fresh_base_literal_boxed_and_formally_correct": 40, | |
| "candidate_independent_numeric_scoreable": 101, | |
| "candidate_independent_numeric_correct": 26, | |
| "candidate_last_boxed_numeric_scoreable": 33, | |
| "candidate_last_boxed_numeric_correct": 22, | |
| "policy": "Box presence and independent numeric extraction are diagnostics only. No post-hoc boxed correction is added to or removed from the authoritative EvalScope 46/240 score." | |
| }, | |
| "completed_at_utc": "2026-08-23T17:47:51Z", | |
| "source_gate_receipt_sha256": "3d6daff73b0b9fba0c66093f5e5ca1ad3f35d535c57d5144722c7e8a707fe7b2" | |
| } | |