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Dolci

Allen Institute for AI
open / Overall score: 3.5

Ai2's post-training data suite for Olmo 3, with separate mixes for supervised fine-tuning, DPO preference tuning and reinforcement learning with verifiable rewards (RLVR) across the Instruct and Think variants. The mixes combine existing sets such as OpenThoughts 3, FLAN v2, OpenAssistant, Aya, Tulu 3 persona data and WildChat with new Ai2 prompts for precise instruction following, Python algorithms, logic puzzles and tool use.

A family record covering the Dolci-Instruct and Dolci-Think SFT, DPO and RL sets.

Openness

5 high confidence
5.0
license
ODC-BY
gated
false
dataset_card
present

ODC-BY, ungated, per-stage dataset cards.

Adoption

2 high confidence
2.0

Adoption is measured by Hugging Face downloads of allenai/Dolci-Instruct-SFT, Dolci's only tracked usage channel.

Capability

5 high confidence
5.0

Ai2's launch post reports Olmo 3-Think 32B, post-trained on Dolci, as the strongest fully open thinking model it is aware of, while noting it still trails some open-weight models such as Qwen 3 32B. The comparison is between finished models rather than an ablation of Dolci against other mixes.

  • https://allenai.org/blog/olmo3 recorded 2026-09-29

    The Ai2 Olmo 3 launch post says "Dolci provides separate mixes for each stage of post-training: SFT, DPO, and RLVR" and its benchmark table lists Olmo 3-Think (32B) at MATH "96.1", HumanEvalPlus "91.4" and IFEval "89.0", concluding "Think 32B emerges as the strongest fully open thinking model."

Verified 2026-09-27