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: 1,167 Bytes
ec18ed9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | {
"schema": "mt11-olmo3-think-template-eos-contract/1",
"base_model": {
"repo_id": "allenai/Olmo-3-1025-7B",
"revision": "996971efdc504b81f0a6caf73a6c92f976254b9c"
},
"template": {
"repo_id": "allenai/Olmo-3-7B-Think",
"revision": "d97e442d7cc678210054dbcc9b440894d62c89a4",
"path": "chat_template.jinja",
"git_oid": "c6d7ea27c1e68187c872c6c476031f21d5d4fdd1",
"sha256": "6d549883b5ed12879e191845c256a30c7dfd4eced0a4f160060a3ea0199d9e3a",
"required": true,
"substitution_allowed": false
},
"tokenizer": {
"revision": "d97e442d7cc678210054dbcc9b440894d62c89a4",
"tokenizer_config_sha256": "3fba0b6d9522abfde3dec4153fba29d701fe7aa70e1bdbf1b1e25868038f358a",
"tokenizer_json_sha256": "73fd5254624f39a88e3faac6a8e11300fc3c735ed37880d4f4f08db898eaecca",
"base_vocab_byte_identical": true
},
"prompt_tail": "<|im_start|>assistant\n<think>",
"generation": {
"max_model_len": 32768,
"reserve_tokens": 64,
"max_tokens_rule": "32768 - exact_prompt_tokens - 64",
"below_one": "HARD_STOP",
"stop_token_ids": [
100265,
100257
],
"terminal_training_eos_id": 100257
}
}
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