Tulu 3
Allen Institute for AIAi2's open post-training model family at 8B, 70B and 405B, applying a fully reproducible recipe on top of Meta's Llama 3.1 base: open supervised and preference data, the open-instruct training code, and reinforcement learning with verifiable rewards. The evaluation framework is released alongside it.
Openness
3 high confidence- weights
- open(downloadable)
- license
- Llama-3.1-Community(non-OSI
- post-training-data
- open(Apache-2.0/ODC-BY)
- code
- open(open-instruct Apache-2.0)
- recipe
- open(SFT->DPO->RLVR)
- evals
- open(OLMES)
The released weights inherit Meta's Llama 3.1 Community License, non-OSI and capped at 700 million monthly active users for commercial use, governing the checkpoint regardless of what Ai2 adds. The post-training layer above it is fully open under Apache-2.0: the data, the open-instruct code, the SFT-DPO-RLVR recipe and the OLMES eval framework, which keeps this at open weights rather than open source.
- https://allenai.org/blog/tulu-3 recorded 2026-09-29
Ai2 describes Tulu 3 as a release of "fully open-source data, code, and recipes."
- https://github.com/allenai/open-instruct recorded 2026-08-13
Apache-2.0; Tulu 3 SFT/DPO/RLVR post-training framework + decontamination tools
- https://huggingface.co/allenai/Llama-3.1-Tulu-3-8B recorded 2026-09-29
Model card tags include "license:llama3.1" and the card names the "Llama 3.1 Community License Agreement".
- https://huggingface.co/datasets/allenai/tulu-3-sft-mixture recorded 2026-09-29
The SFT mixture card states "ODC-BY-1.0 license; different licenses apply to subsets of the data."
- https://raw.githubusercontent.com/allenai/open-instruct/main/LICENSE recorded 2026-09-29
The open-instruct LICENSE file is the "Apache License" text, "Version 2.0, January 2004".
- https://raw.githubusercontent.com/allenai/open-instruct/main/README.md recorded 2026-09-29
The open-instruct README says the repo releases "Code for DPO, preference finetuning and reinforcement learning with verifiable rewards (RLVR)." and points to OLMES, "which we used for TÜLU 3".
Adoption
1 high confidenceAdoption sums Hugging Face downloads across Tulu's three declared model checkpoints, 8B, 70B and 405B, most of the volume on the 8B. The tulu-3-sft-mixture dataset the product also declares is scored separately as its own entry among the training and synthetic datasets, rather than added to the model count.
- https://huggingface.co/api/models/allenai/Llama-3.1-Tulu-3-405B recorded 2026-10-07
341 downloads in the trailing 30 days for allenai/Llama-3.1-Tulu-3-405B
- https://huggingface.co/api/models/allenai/Llama-3.1-Tulu-3-70B recorded 2026-10-07
586 downloads in the trailing 30 days for allenai/Llama-3.1-Tulu-3-70B
- https://huggingface.co/api/models/allenai/Llama-3.1-Tulu-3-8B recorded 2026-10-07
6,422 downloads in the trailing 30 days for allenai/Llama-3.1-Tulu-3-8B
Capability
3 high confidenceTulu 3 is a 2025 post-training recipe on a Llama 3.1 base. Its 405B results table gives MMLU 87.0, GSM8K 95.5, IFEval 86.0, HumanEval 95.9 and MATH 67.3, against a GPT-4o (11-24) column at 87.9, 91.7, 84.8, 97.0 and 68.8, and it sits below the current frontier.
- https://huggingface.co/allenai/Llama-3.1-Tulu-3-405B recorded 2026-09-29
The 405B card table has rows "MMLU (5 shot, CoT)" and "GSM8K (8 shot, CoT)"; Tülu 3 is "designed for state-of-the-art performance on a diversity of tasks in addition to chat".
Verified 2026-09-29, except some scores, still awaiting re-confirmation