AI Research Atlas

dots.llm1

Xiaohongshu (RedNote) · 6 June 2025

142B-total, 14B-active MoE from RedNote's hi lab, trained without synthetic data and said to match Qwen2.5-72B; intermediate checkpoints also released.

A data-pipeline-focused release, with pretraining on high-quality non-synthetic corpora and open checkpoints across the full training run for research on learning dynamics. MIT.

Date
Friday, 6 June 2025
Lab
Xiaohongshu (RedNote)
Kind
open-weights
Access
open weights

Figures

MeasureValueMeasured by
Total / active parameters142B / 14Bcompany

Release date 2025.06.06 from the model card news line. Comparison to Qwen2.5-72B is the authors' claim.

Sources

  1. huggingface.co/rednote-hilab/dots.llm1.inst

This record was checked against its sources on 6 October 2026. How we check