Instructions to use modrill/MT11-HIGH-L45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use modrill/MT11-HIGH-L45 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Base") model = PeftModel.from_pretrained(base_model, "modrill/MT11-HIGH-L45") - Notebooks
- Google Colab
- Kaggle
| { | |
| "schema": "mt11-high-heavy-l45-primary-selection/1", | |
| "status": "FINAL_FROZEN", | |
| "date": "2026-08-16", | |
| "selection": { | |
| "primary": "HIGH_HEAVY_L45", | |
| "downgraded": "MEDCONF_MED34_HIGH30_CENTERED_S2", | |
| "downgrade_evidence": { | |
| "fresh_correct": 29, | |
| "fresh_n": 240, | |
| "vs_fresh_base_delta_correct": 9, | |
| "question_cluster_bootstrap_95ci_delta_correct": [ | |
| -3, | |
| 22 | |
| ], | |
| "significantly_above_fresh_base": false | |
| }, | |
| "owner_override": { | |
| "applied": true, | |
| "prior_report_verdict": "DO_NOT_STOP_TRAINING_MIXED_OR_UNSTABLE", | |
| "reason": "The prior report verdict combined HIGH and MEDCONF. The owner had predeclared that fresh-seed reproduction of the 34-point result ends training; HIGH exactly reproduced 34/240 and remained significantly above Fresh Base." | |
| } | |
| }, | |
| "high_complete_evidence": { | |
| "no_cherry_pick": true, | |
| "all_seeds_included": [ | |
| 42, | |
| 43, | |
| 44, | |
| 45, | |
| 46, | |
| 47, | |
| 48, | |
| 49 | |
| ], | |
| "pairing_note": "Different eval seeds are not sample-paired; comparisons use question aggregation. Combined health metrics are exhaustive sample totals.", | |
| "original_block": { | |
| "seeds": [ | |
| 42, | |
| 43, | |
| 44, | |
| 45 | |
| ], | |
| "n": 240, | |
| "correct": 34, | |
| "correct_by_seed": { | |
| "42": 8, | |
| "43": 9, | |
| "44": 6, | |
| "45": 11 | |
| }, | |
| "cap": { | |
| "n": 91, | |
| "pct": 37.917 | |
| }, | |
| "decoded_complete_box": { | |
| "n": 150, | |
| "pct": 62.5 | |
| }, | |
| "natural_stop": { | |
| "n": 149, | |
| "pct": 62.083 | |
| } | |
| }, | |
| "fresh_block": { | |
| "seeds": [ | |
| 46, | |
| 47, | |
| 48, | |
| 49 | |
| ], | |
| "n": 240, | |
| "correct": 34, | |
| "correct_by_seed": { | |
| "46": 8, | |
| "47": 9, | |
| "48": 9, | |
| "49": 8 | |
| }, | |
| "cap": { | |
| "n": 84, | |
| "pct": 35.0 | |
| }, | |
| "decoded_complete_box": { | |
| "n": 151, | |
| "pct": 62.917 | |
| }, | |
| "natural_stop": { | |
| "n": 156, | |
| "pct": 65.0 | |
| }, | |
| "vs_fresh_base": { | |
| "fresh_base_correct": 20, | |
| "fresh_base_n": 240, | |
| "delta_correct": 14, | |
| "question_cluster_bootstrap_95ci_delta_correct": [ | |
| 2, | |
| 27 | |
| ], | |
| "significantly_above": true | |
| } | |
| }, | |
| "combined_block": { | |
| "seeds": [ | |
| 42, | |
| 43, | |
| 44, | |
| 45, | |
| 46, | |
| 47, | |
| 48, | |
| 49 | |
| ], | |
| "n": 480, | |
| "correct": { | |
| "n": 68, | |
| "pct": 14.167 | |
| }, | |
| "cap": { | |
| "n": 175, | |
| "pct": 36.458 | |
| }, | |
| "decoded_complete_box": { | |
| "n": 301, | |
| "pct": 62.708 | |
| }, | |
| "natural_stop": { | |
| "n": 305, | |
| "pct": 63.542 | |
| } | |
| } | |
| }, | |
| "frozen_identity": { | |
| "adapter_path": "/workspace/DDC-v3.1/runs/mt11_r2_384k96_execution_20260814/arms_90r6pp/HIGH_HEAVY_L45/train/checkpoint-update-00000024-tokens-000000409131/adapter", | |
| "adapter_sha256": "628a5b4c40584c524479b80773166f49b5c49d7223b34d4cf254064d6b65bd29", | |
| "base_path": "/workspace/MATH-NOTHINK-AIME-P1-v1.0/model/mn8_eos_r1_2/Qwen3-4B-Base-906bfd4", | |
| "tokenizer_path": "/workspace/MATH-NOTHINK-AIME-P1-v1.0/model/mn8_eos_r1_2/Qwen3-4B-Base-906bfd4", | |
| "dynamic_lora": true, | |
| "base_adapter_separate": true, | |
| "merge": false, | |
| "bake": false | |
| }, | |
| "standard_think_evalscope_contract": { | |
| "mode": "think", | |
| "enable_thinking": true, | |
| "framework": "EvalScope", | |
| "score_authority": "EvalScope reviews", | |
| "suites": [ | |
| "AIME24", | |
| "AIME25" | |
| ], | |
| "independent_questions": 60, | |
| "samples_per_four_seed_block": 240, | |
| "sampling": { | |
| "temperature": 0.6, | |
| "top_p": 0.95, | |
| "top_k": 20 | |
| }, | |
| "max_model_len": 32768, | |
| "reserve_tokens": 64, | |
| "max_new_tokens_rule": "32768 - exact_upstream_tokenize_prompt_count - 64", | |
| "statistics": "question-clustered; do not treat 240 samples as 240 independent questions", | |
| "serving": "vLLM dynamic LoRA mount; no merge or bake" | |
| }, | |
| "route_freeze": { | |
| "stop_all_new_mt11_training": true, | |
| "short_cot": "FAIL", | |
| "med34_score_uplift_r1_family_gate": "FAIL", | |
| "automatic_continuation_forbidden": true, | |
| "automatic_arm_expansion_forbidden": true, | |
| "automatic_warm_start_forbidden": true, | |
| "automatic_lora_combination_forbidden": true, | |
| "historical_result_cards_modified": false, | |
| "training_started_by_this_action": false, | |
| "evaluation_started_by_this_action": false | |
| }, | |
| "mn9_crossprotocol_eval": { | |
| "approved_eval_only": true, | |
| "must_not_stop_or_interfere": true, | |
| "may_not_trigger_training_automatically": true, | |
| "may_not_trigger_lora_combination_automatically": true, | |
| "separate_approval_required_for_any_followup": true | |
| }, | |
| "supervisor_read_only_check": { | |
| "mt11_training_running": false, | |
| "action_taken": "NONE", | |
| "running_approved_eval_only_services": [ | |
| "ddc-mt11-mn9-crossprotocol-controller", | |
| "ddc-mt11-mn9-crossprotocol-eval-disk-guard", | |
| "ddc-mt11-mn9-crossprotocol-eval-gpu0", | |
| "ddc-mt11-mn9-crossprotocol-eval-gpu1", | |
| "ddc-mt11-mn9-crossprotocol-eval-gpu2", | |
| "ddc-mt11-mn9-crossprotocol-eval-gpu3" | |
| ] | |
| }, | |
| "authoritative_sources": [ | |
| "/workspace/DDC-v3.1/runs/mt11_two34_freshseed_reval_20260815/MT11_TWO34_FRESHSEED_REVAL_FINAL.md", | |
| "/workspace/DDC-v3.1/runs/mt11_two34_freshseed_reval_20260815/MT11_TWO34_FRESHSEED_REVAL_FINAL.json", | |
| "/workspace/DDC-v3.1/runs/mt11_r2_384k96_execution_20260814/RESULT_CARD_HIGH_HEAVY_L45.json", | |
| "/workspace/DDC-v3.1/runs/MED34_SCORE_UPLIFT_CANARY_V1R1_SHARED_PREFIX/MED34_SCORE_UPLIFT_REPORT.md" | |
| ] | |
| } | |