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Tulu 3

Ai2

Ai2's open post-training model family (Llama-3.1-Tulu-3 8B / 70B / 405B), the reference fully-open post-training recipe: open SFT + preference data, open training code (open-instruct), and the RLVR (Reinforcement Learning with Verifiable Rewards) method, applied on top of Meta's Llama 3.1 base. Note: the recipe/data/code are Apache-2.0 and fully reproducible, but the released weights inherit Meta's Llama 3.1 Community License (non-OSI), so the artifact is open-recipe over restricted weights. Verified live on HF June 2026.

Weights under Llama 3.1 Community License (non-OSI); Ai2's post-training data, code, recipe, and eval framework (open-instruct, OLMES) are Apache-2.0. Classed as restricted on the weights license, consistent with how other Llama-Community models are scored.

Openness

3 high confidence
3.0
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, 700M-MAU cap), so the license governs what a user downloading THIS checkpoint is bound by, not Ai2's post- training layer. That layer is genuinely open - data, code, RLVR recipe and eval framework, all Apache-2.0 - and it is credited where it lives: tulu-3-sft-mixture carries 5/open in training_synthetic_datasets, and the same recipe produces olmo-3-instruct at 5/open_source on an open base. Scoring the method on the checkpoint would score two things at once. Was 3, corrected to 2 on 2026-07-29, and now 3 again on 2026-08-01 - but not a reversal to the original reasoning. The 2026-07-29 correction was right at the time: the 3 it removed was 3/restricted, a pair no rule in the category ladder could produce. The universal license scale now caps a bounded commercial license at 3/open_weights, which IS producible, so the score returns while the objection that removed it stays answered.

Adoption

2 high confidence
2.0

The released weights inherit Meta's Llama 3.1 Community License (non-OSI, 700M-MAU cap), so the license governs what a user downloading THIS checkpoint is bound by, not Ai2's post- training layer. That layer is genuinely open - data, code, RLVR recipe and eval framework, all Apache-2.0 - and it is credited where it lives: tulu-3-sft-mixture carries 5/open in training_synthetic_datasets, and the same recipe produces olmo-3-instruct at 5/open_source on an open base. Scoring the method on the checkpoint would score two things at once. Was 3, corrected to 2 on 2026-07-29, and now 3 again on 2026-08-01 - but not a reversal to the original reasoning. The 2026-07-29 correction was right at the time: the 3 it removed was 3/restricted, a pair no rule in the category ladder could produce. The universal license scale now caps a bounded commercial license at 3/open_weights, which IS producible, so the score returns while the objection that removed it stays answered.

Capability

3 high confidence
3.0

The released weights inherit Meta's Llama 3.1 Community License (non-OSI, 700M-MAU cap), so the license governs what a user downloading THIS checkpoint is bound by, not Ai2's post- training layer. That layer is genuinely open - data, code, RLVR recipe and eval framework, all Apache-2.0 - and it is credited where it lives: tulu-3-sft-mixture carries 5/open in training_synthetic_datasets, and the same recipe produces olmo-3-instruct at 5/open_source on an open base. Scoring the method on the checkpoint would score two things at once. Was 3, corrected to 2 on 2026-07-29, and now 3 again on 2026-08-01 - but not a reversal to the original reasoning. The 2026-07-29 correction was right at the time: the 3 it removed was 3/restricted, a pair no rule in the category ladder could produce. The universal license scale now caps a bounded commercial license at 3/open_weights, which IS producible, so the score returns while the objection that removed it stays answered.

Unchanged since 2026-08-07 (last edited, not re-checked)