inclusionAI/Vision-Language
LLaDA-UI Brings Diffusion Decoding to GUI Agents
inclusionAI's 16.7B MoE vision-language model uses block-wise diffusion to drive graphical interface tasks.
Company
inclusionAI
14 modelsCN
Releases
inclusionAI/Vision-Language
inclusionAI Adds Vision to Ling 3.0 Flash
The new Ling-3.0-flash-VL brings a mixture-of-experts vision-language model to inclusionAI's open lineup under a permissive MIT license.
inclusionAI/Text / LLM
inclusionAI Tunes Ling-3.0-flash for Finance
A finance-focused variant of the Ling-3.0-flash MoE model targets financial research and agentic tool use.
inclusionAI/Text → Image
LLaDA-Image: A Fully Open 6B Image Generator
inclusionAI pairs a diffusion transformer with a frozen vision-language model and publishes the entire training recipe.
inclusionAI/Text / LLM
inclusionAI Releases Ling-3.0-tiny, an MIT-Licensed MoE
The new hybrid mixture-of-experts model targets efficient text generation under a permissive license.
inclusionAI/Text / LLM
inclusionAI ships Ling-3.0-flash, an MIT-licensed MoE model
The latest entry in the Bailing family pairs a hybrid mixture-of-experts design with a permissive license aimed at fast, low-cost text generation.
inclusionAI/Text / LLM
inclusionAI ships LLaDA2.2-flash diffusion LLM
A new Apache-2.0 mixture-of-experts model that generates text through diffusion rather than left-to-right decoding.
inclusionAI/Reasoning
inclusionAI's Ring-Zero Scales Zero-RL to a Trillion Parameters
A new mixture-of-experts model learns to reason through reinforcement learning alone, without human-annotated chains of thought.
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.
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.
