prefix-lm

#prefix-lm

@vintcessun: Pretraining can be this cost-effective? Train a usable 1B base model from scratch for ~$1000, slashing compute and data by hundreds of times. The key isn't brute-force compute, but hierarchical recursive architecture plus latent space reasoning, combined with PrefixLM packing and FA3 to maximize efficiency. Sounds insane, but the paper and code are open-sourced.

X AI KOLs Timeline ↗ · 2026-06-05 Cached

HRM-Text released a 1B-parameter base model, claiming it can be pretrained from scratch for only ~$1000, reducing compute and data volume by hundreds of times. It employs efficient techniques such as hierarchical recursive architecture, latent space reasoning, and PrefixLM packing. The paper and code are open-sourced.

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prefix-lm

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