NeoMME
PulseAugur coverage of NeoMME — every cluster mentioning NeoMME across labs, papers, and developer communities, ranked by signal.
- 2026-09-06 product_launch H Company released NeoMME, a family of single-tower multimodal encoders. source
-
Hugging Face Transformers v5.17.0 adds HYV4, VibeVoice, NeoMME, and more
The Hugging Face Transformers library has released version 5.17.0, introducing several new models and frameworks. Notable additions include HYV4, a 780B-parameter mixture-of-experts language model with a 1M token contex…
-
H Company releases NeoMME, a single-tower multimodal encoder family
H Company has introduced NeoMME, a new family of multimodal encoders designed for efficiency. These models, available in 260M and 800M parameter sizes, eliminate the need for separate vision towers and causal decoders, …
-
Hugging Face details AI advancements in memory, fine-tuning, and encoding
Hugging Face has published several blog posts detailing new advancements in AI. One post introduces Funes, a system designed to give coding agents persistent memory. Another discusses a method for fine-tuning 350 millio…
-
Hugging Face unveils efficient multimodal encoder NeoMME, study favors encoders for Indic NER
Hugging Face has introduced NeoMME, a new family of multilingual multimodal encoders designed for efficiency. Unlike many generative models, NeoMME uses a single bidirectional Transformer to process both text and image …