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-publication-manifest/1", | |
| "repo_id": "modrill/MT11-OLMO3-THINK-OMR-R025-v1", | |
| "repo_type": "model", | |
| "visibility": "public", | |
| "artifact_type": "PEFT_LORA_ADAPTER", | |
| "dynamic_lora": true, | |
| "merged": false, | |
| "naming": { | |
| "namespace": "modrill", | |
| "name": "MT11-OLMO3-THINK-OMR-R025-v1", | |
| "evidence": [ | |
| "Existing public projects preserve uppercase experiment IDs and hyphenation, including modrill/MT11-HIGH-L45.", | |
| "Existing OLMo releases use the OLMO3 and THINK family labels.", | |
| "The repository name explicitly identifies MT11, OLMO3, THINK, OMR, R025, and version v1." | |
| ], | |
| "target_verified_unoccupied_before_creation": true, | |
| "overwrite_existing_repository": false | |
| }, | |
| "source": { | |
| "candidate_id": "BASE-MATH-R025-12M", | |
| "checkpoint": "checkpoint-update-00003519", | |
| "adapter_sha256": "ec394a4679e185961799a7dd40f29efb2f5dc79eace28e304392c39e2c23fd13" | |
| }, | |
| "payload_files": [ | |
| "README.md", | |
| "adapter_config.json", | |
| "adapter_model.safetensors", | |
| "TRAINING_CONFIG.json", | |
| "DATA_PROFILE.json", | |
| "DATA_PROVENANCE.json", | |
| "TEMPLATE_EOS_CONTRACT.json", | |
| "EVALSCOPE_EXACT240_CONTRACT.json", | |
| "RESULTS_AND_DISCLOSURES.json", | |
| "SOURCE_CHECKPOINT.json", | |
| "PUBLICATION_MANIFEST.json", | |
| "SHA256SUMS" | |
| ], | |
| "excluded": [ | |
| "BASE-OMR-R050-CANARY128 and every R0.50 checkpoint", | |
| "base-model weights", | |
| "merged or baked weights", | |
| "raw or complete training rows", | |
| "ordered row IDs", | |
| "optimizer, scheduler, RNG, and trainer state", | |
| "raw evaluation responses and captures", | |
| "internal absolute paths and environment dumps", | |
| "tokens, credentials, and private storage metadata" | |
| ], | |
| "local_only_after_publish": [ | |
| "HF_PUBLISH_RECEIPT.json", | |
| "HF_PUBLISH_RECEIPT.md" | |
| ] | |
| } | |