NeoMME
2026 · Open model · Apache 2.0
Multimodal encoders and retrievers for long-context document understanding, released at 260M and 800M parameters with dense and late interaction retriever variants.
Everything the lab has published, with the primary artifact attached: arXiv for papers, Hugging Face for weights and benchmarks, and the blog for the systems work behind them.
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9 of 17 entries
2026 · Open model · Apache 2.0
Multimodal encoders and retrievers for long-context document understanding, released at 260M and 800M parameters with dense and late interaction retriever variants.
2026 · Dataset and benchmark · Apache 2.0
Screenshots paired with an instruction and start and end bounding boxes, so models can be trained and measured on drag and drop, an action most grounding datasets leave out.
2026 · Open model · Apache 2.0
Open-weight action models at 0.8B, 4B, 9B, and 35B-A3B, with quantized checkpoints for local and single-GPU deployment.
2026 · Open model · NVIDIA Open Model License
A computer-use model trained on NVIDIA's Nemotron 3 Nano Omni backbone, part of H's work on efficient open backbones.
2026 · Open model · Apache 2.0
The third generation of Holo action models, trained for grounding and multi-step control on web and desktop interfaces.
2026 · Open model · NVIDIA Open Model License
A 12B computer-use model built on NVIDIA Nemotron Nano V2 VL, released as part of H's work inside the Nemotron ecosystem.
2026 · Open model · CC BY-NC 4.0
A research preview of the largest Holo2 checkpoint, a mixture of experts model with 235B total and 22B active parameters.
2025 · Open model · CC BY-NC 4.0
Holo2 at 4B, 8B, and 30B-A3B, trained for grounding and action prediction across web, desktop, and mobile screens.
2025 · Methods paper · Preprint · 53 authors, listed alphabetically
A unified agent architecture that works purely from visual observations, so a single system operates web, desktop, and mobile environments without environment-specific interfaces.