Ling 3.0 Fin Models
inclusionAI
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Papers
LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes
Unlocking the Potential of Image Editing via Concept Scaling and Dense Supervision
Team members 103 private
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LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes
Paper • 2609.03796 • Published • 228 -
inclusionAI/LLaDA-Image
Text-to-Image • 7B • Updated • 343 • 50 -
inclusionAI/LLaDA-Image-Turbo
Text-to-Image • 7B • Updated • 571 • 36 -
inclusionAI/LLaDA-Image-FP8
Text-to-Image • 7B • Updated • 108 • 9
Extensible Guardrails for Agentic AI via Generative Reasoning and Real-Time Classification
Ling-2.6 series is designed for real-world agents that require fast responses, strong execution, and high token efficiency, with several sized SKUs.
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LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model
Paper • 2604.20796 • Published • 244 -
inclusionAI/LLaDA2.0-Uni
Any-to-Any • 16B • Updated • 4.54k • 251 -
inclusionAI/LLaDA2.0-Uni-FP8
Any-to-Any • 16B • Updated • 3.11k • 5 -
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Paper • 2512.15745 • Published • 89
Ring is a reasoning MoE LLM provided and open-sourced by InclusionAI, derived from Ling.
The Agent Runtime for Self-Improvement
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Ming-Omni: A Unified Multimodal Model for Perception and Generation
Paper • 2506.09344 • Published • 31 -
inclusionAI/Ming-Lite-Omni
Any-to-Any • 19B • Updated • 73 • 200 -
inclusionAI/Ming-Lite-Omni-1.5
Any-to-Any • 19B • Updated • 1.3k • 84 -
inclusionAI/Ming-UniAudio-16B-A3B
Any-to-Any • 18B • Updated • 55 • 80
Ling 3.0
Ring
The newest flagship non-reasoning model series.
Ming is the multi-modal series of any-to-any models developed by Ant Ling team.
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inclusionAI/Ming-flash-omni-2.0
Any-to-Any • 104B • Updated • 3.2k • 274 -
inclusionAI/Ming-omni-tts-16.8B-A3B
Text-to-Speech • 18B • Updated • 176 • 54 -
inclusionAI/Ming-omni-tts-0.5B
Text-to-Speech • 2B • Updated • 14k • 38 -
inclusionAI/Ming-omni-tts-tokenizer-12Hz
Audio-to-Audio • 0.8B • Updated • 45 • 10
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Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Paper • 2602.11858 • Published • 61 -
inclusionAI/ZwZ-4B
Image-Text-to-Text • 5B • Updated • 312 • 32 -
inclusionAI/ZwZ-8B
Image-Text-to-Text • 9B • Updated • 131 • 50 -
inclusionAI/ZwZ-RL-VQA
Viewer • Updated • 111k • 3.62k • 17
A collection of TwinFlow-accelerated diffusion models
GroveMoE is an open-source family of large language models developed by the AGI Center, Ant Research Institute.
AReaL-boba-2
Ling 3.0 Fin Models
Ling 3.0
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LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes
Paper • 2609.03796 • Published • 228 -
inclusionAI/LLaDA-Image
Text-to-Image • 7B • Updated • 343 • 50 -
inclusionAI/LLaDA-Image-Turbo
Text-to-Image • 7B • Updated • 571 • 36 -
inclusionAI/LLaDA-Image-FP8
Text-to-Image • 7B • Updated • 108 • 9
Extensible Guardrails for Agentic AI via Generative Reasoning and Real-Time Classification
Ring
Ling-2.6 series is designed for real-world agents that require fast responses, strong execution, and high token efficiency, with several sized SKUs.
The newest flagship non-reasoning model series.
Ming is the multi-modal series of any-to-any models developed by Ant Ling team.
-
inclusionAI/Ming-flash-omni-2.0
Any-to-Any • 104B • Updated • 3.2k • 274 -
inclusionAI/Ming-omni-tts-16.8B-A3B
Text-to-Speech • 18B • Updated • 176 • 54 -
inclusionAI/Ming-omni-tts-0.5B
Text-to-Speech • 2B • Updated • 14k • 38 -
inclusionAI/Ming-omni-tts-tokenizer-12Hz
Audio-to-Audio • 0.8B • Updated • 45 • 10
-
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Paper • 2602.11858 • Published • 61 -
inclusionAI/ZwZ-4B
Image-Text-to-Text • 5B • Updated • 312 • 32 -
inclusionAI/ZwZ-8B
Image-Text-to-Text • 9B • Updated • 131 • 50 -
inclusionAI/ZwZ-RL-VQA
Viewer • Updated • 111k • 3.62k • 17
-
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model
Paper • 2604.20796 • Published • 244 -
inclusionAI/LLaDA2.0-Uni
Any-to-Any • 16B • Updated • 4.54k • 251 -
inclusionAI/LLaDA2.0-Uni-FP8
Any-to-Any • 16B • Updated • 3.11k • 5 -
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Paper • 2512.15745 • Published • 89
A collection of TwinFlow-accelerated diffusion models
Ring is a reasoning MoE LLM provided and open-sourced by InclusionAI, derived from Ling.
The Agent Runtime for Self-Improvement
GroveMoE is an open-source family of large language models developed by the AGI Center, Ant Research Institute.
AReaL-boba-2
-
Ming-Omni: A Unified Multimodal Model for Perception and Generation
Paper • 2506.09344 • Published • 31 -
inclusionAI/Ming-Lite-Omni
Any-to-Any • 19B • Updated • 73 • 200 -
inclusionAI/Ming-Lite-Omni-1.5
Any-to-Any • 19B • Updated • 1.3k • 84 -
inclusionAI/Ming-UniAudio-16B-A3B
Any-to-Any • 18B • Updated • 55 • 80