inclusionAI/Any-to-Any
LLaDA2.0-Uni: A Unified MoE for Vision Tasks
The new open-source model from inclusionAI uses a Mixture-of-Experts architecture to handle multiple vision tasks in a single, diffusion-based system.
Company
inclusionAI
6 modelsCN
Releases
inclusionAI/Any-to-Any
inclusionAI's Ming 2.0 Tackles Any-to-Any Multimodality
The new open-source Mixture-of-Experts model can process and generate content across text, images, and audio in any combination.
inclusionAI/Any-to-Any
inclusionAI Debuts 'Any-to-Any' Multimodal MoE Model
The new Ming-flash-omni-Preview aims to handle any combination of data modalities using an efficient Mixture of Experts architecture.
inclusionAI/Any-to-Any
inclusionAI Releases Ming-UniVision MoE Multimodal Model
The new 16-billion-parameter model uses a sparse Mixture-of-Experts design to efficiently handle 'any-to-any' data combinations, from text to images.
inclusionAI/Any-to-Any
Ming-UniAudio Brings MoE to Unified Audio AI
A new 16-billion-parameter model from inclusionAI uses a Mixture-of-Experts architecture to handle a wide range of audio tasks efficiently.
inclusionAI/Any-to-Any
Ming-Lite-Omni 1.5 Brings Any-to-Any Modality to Open Source
The new MIT-licensed model from inclusionAI can process and generate a mix of text, images, audio, and video, pushing the boundaries of open multimodal AI.
