NeoMME

Trends

• Open releases add training data, recipes, and agent-ready vision

Items

1. Sep 3

   H Company's NeoMME multimodal encoders

   260M and 800M multimodal, multilingual encoders trained from scratch with a masked discrete-diffusion objective in a single bidirectional Transformer, with no separate vision tower or causal LM, released as Apache-2.0 checkpoints with day-zero Transformers support.