Hugging Face

2 items

Models

NeoMME's 260M encoder lands within 0.002 of a 3.75B model on ViDoRe v3

H company published NeoMME on September 3, 2026: a pair of multimodal encoders, at 260M and 800M parameters, released under Apache 2.0 and loadable through Hugging Face Transformers. On the ViDoRe v3 document retrieval benchmark the small one scores 0.523 nDCG@10, which is 0.002 behind ColQwen2.5 at roughly 14 times its parameter count. It also encodes about 51 pages per second on a single NVIDIA L40S, and the index it produces can be compressed from about 1.5 MB per page to 6 kB while keeping more than 95% of retrieval quality.

Hugging FaceSeptember 4verified

Industry

NVIDIA is buying Hugging Face for $12,930,300,000 and says its compute will not be required

Jensen Huang announced the agreement on September 3, 2026. The platform holds more than 3 million models, 500,000 datasets and 1 million applications, and more than 18 million developers and 200,000 companies use it. NVIDIA says Hugging Face stays open to the whole ecosystem and that NVIDIA compute will not be required to build on or deploy through it. The post names no closing date and no regulatory conditions, so what you have today is an agreement rather than a completed sale.

NVIDIASeptember 3verified