Stanford's Marin Launches Fully Transparent Training of 535B Model, Open-Sources 23T Token Dataset

Stanford CRFM/NLP's Marin project (Percy Liang's team) has made two key moves: open-sourcing roughly 23 trillion tokens of pretraining data, and launching fully transparent training of a 535B-parameter MoE model — a rare experiment in open science at frontier scale.

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2026-08-22 ~ 2026-08-24 · 7 related posts

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2 near-duplicate retellings: stanfordnlp · _ScottCondron