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Papers
Intrinsic Distribution Matching
Zooming without Zooming v2: From Seeing Details to Connecting Evidence for Generalizable Multimodal Perception
Team members 129 private
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inclusionAI/Ming-3.0-audio-flash
Audio-to-Audio ⢠128B ⢠Updated ⢠1.29k ⢠71 -
inclusionAI/Ming-3.0-audio-tiny
Audio-to-Audio ⢠9B ⢠Updated ⢠2.79k ⢠55 -
inclusionAI/Ming-3.0-asr-tiny
Automatic Speech Recognition ⢠9B ⢠Updated ⢠2.14k ⢠47 -
inclusionAI/Ming-3.0-tts-tiny
Text-to-Speech ⢠9B ⢠Updated ⢠3.02k ⢠52
Ling 3.0
Ring
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robbyant/lingbot-world-base-cam
Image-to-Video ⢠Updated ⢠348 -
robbyant/lingbot-world-base-act-preview
Image-to-Video ⢠Updated ⢠22 -
robbyant/lingbot-world-fast
Image-to-Video ⢠19B ⢠Updated ⢠62.5k ⢠23 -
robbyant/lingbot-world-fast-diffusers
Image-to-Video ⢠19B ⢠Updated ⢠4.12k ⢠8
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 ⢠6.95k ⢠280 -
inclusionAI/Ming-omni-tts-16.8B-A3B
Text-to-Speech ⢠18B ⢠Updated ⢠345 ⢠56 -
inclusionAI/Ming-omni-tts-0.5B
Text-to-Speech ⢠2B ⢠Updated ⢠16.3k ⢠43 -
inclusionAI/Ming-omni-tts-tokenizer-12Hz
Audio-to-Audio ⢠0.8B ⢠Updated ⢠165 ⢠10
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Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Paper ⢠2602.11858 ⢠Published ⢠62 -
inclusionAI/ZwZ-4B
Image-Text-to-Text ⢠5B ⢠Updated ⢠859 ⢠34 -
inclusionAI/ZwZ-8B
Image-Text-to-Text ⢠9B ⢠Updated ⢠310 ⢠50 -
inclusionAI/ZwZ-RL-VQA
Viewer ⢠Updated ⢠111k ⢠2.25k ⢠17
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inclusionAI/Ling-1T
Text Generation ⢠1000B ⢠Updated ⢠2.88k ⢠⢠546 -
inclusionAI/Ling-flash-2.0
Text Generation ⢠103B ⢠Updated ⢠3.71k ⢠222 -
inclusionAI/Ling-mini-2.0
Text Generation ⢠16B ⢠Updated ⢠4.6k ⢠208 -
inclusionAI/Ling-mini-2.0-GGUF
16B ⢠Updated ⢠1.45k ⢠28
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.
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inclusionAI/Ling-lite-1.5-2507
Text Generation ⢠17B ⢠Updated ⢠968 ⢠77 -
inclusionAI/Ling-lite-1.5-2506
Text Generation ⢠17B ⢠Updated ⢠177 ⢠52 -
inclusionAI/Ling-lite-1.5
Text Generation ⢠17B ⢠Updated ⢠1.48k ⢠57 -
inclusionAI/Ling-lite-base-1.5
Text Generation ⢠17B ⢠Updated ⢠776 ⢠33
AReaL-boba-2
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Zooming without Zooming v2: From Seeing Details to Connecting Evidence for Generalizable Multimodal Perception
Paper ⢠2610.37037 ⢠Published ⢠35 -
inclusionAI/ZwZ2-4B
Image-Text-to-Text ⢠5B ⢠Updated ⢠531 ⢠13 -
inclusionAI/ZwZ2-9B
Image-Text-to-Text ⢠9B ⢠Updated ⢠617 ⢠15 -
inclusionAI/ZwZ2-27B
Image-Text-to-Text ⢠27B ⢠Updated ⢠632 ⢠13
Ling 3.1
Ling 3.0 Fin Models
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inclusionAI/Ling-3.0-flash-Fin
Text Generation ⢠127B ⢠Updated ⢠1.86k ⢠⢠129 -
inclusionAI/FinFIRST
Viewer ⢠Updated ⢠123 ⢠1.51k ⢠21 -
inclusionAI/Ling-3.0-flash-Fin-fp8
Text Generation ⢠127B ⢠Updated ⢠280 ⢠3 -
inclusionAI/Ling-3.0-flash-Fin-int4
Text Generation ⢠127B ⢠Updated ⢠236 ⢠3
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LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes
Paper ⢠2609.03796 ⢠Published ⢠59 -
inclusionAI/LLaDA-Image
Text-to-Image ⢠7B ⢠Updated ⢠6.16k ⢠94 -
inclusionAI/LLaDA-Image-Turbo
Text-to-Image ⢠7B ⢠Updated ⢠475 ⢠49 -
inclusionAI/LLaDA-Image-FP8
Text-to-Image ⢠7B ⢠Updated ⢠148 ⢠9
Extensible Guardrails for Agentic AI via Generative Reasoning and Real-Time Classification
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inclusionAI/SingGuard-NSFA-0.8B
Image-Text-to-Text ⢠1B ⢠Updated ⢠875 ⢠10 -
inclusionAI/SingGuard-NSFA-2B
Image-Text-to-Text ⢠3B ⢠Updated ⢠219 ⢠3 -
inclusionAI/SingGuard-NSFA-4B
Image-Text-to-Text ⢠5B ⢠Updated ⢠760 ⢠5 -
inclusionAI/SingGuard-NSFA-9B
Image-Text-to-Text ⢠9B ⢠Updated ⢠228 ⢠6
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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inclusionAI/Ring-1T
Text Generation ⢠1000B ⢠Updated ⢠1.05k ⢠⢠233 -
inclusionAI/Ring-flash-2.0
Text Generation ⢠103B ⢠Updated ⢠1.13k ⢠104 -
inclusionAI/Ring-mini-2.0
Text Generation ⢠16B ⢠Updated ⢠1.07k ⢠188 -
inclusionAI/Ring-mini-linear-2.0
Text Generation ⢠16B ⢠Updated ⢠924 ⢠89
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LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model
Paper ⢠2604.20796 ⢠Published ⢠89 -
inclusionAI/LLaDA2.0-Uni
Any-to-Any ⢠16B ⢠Updated ⢠1k ⢠251 -
inclusionAI/LLaDA2.0-Uni-FP8
Any-to-Any ⢠16B ⢠Updated ⢠67 ⢠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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UI-Venus-2 Technical Report
Paper ⢠2609.00028 ⢠Published ⢠65 -
inclusionAI/UI-Venus-2-9B
Image-Text-to-Text ⢠1.47M ⢠Updated ⢠11.9k ⢠⢠44 -
inclusionAI/VenusBench-CAPTCHA
Viewer ⢠Updated ⢠219 ⢠1.69k ⢠7 -
UI-Venus-1.5 Technical Report
Paper ⢠2602.09082 ⢠Published ⢠114
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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 ⢠179 ⢠200 -
inclusionAI/Ming-Lite-Omni-1.5
Any-to-Any ⢠19B ⢠Updated ⢠1.73k ⢠84 -
inclusionAI/Ming-UniAudio-16B-A3B
Any-to-Any ⢠18B ⢠Updated ⢠171 ⢠80
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Zooming without Zooming v2: From Seeing Details to Connecting Evidence for Generalizable Multimodal Perception
Paper ⢠2610.37037 ⢠Published ⢠35 -
inclusionAI/ZwZ2-4B
Image-Text-to-Text ⢠5B ⢠Updated ⢠531 ⢠13 -
inclusionAI/ZwZ2-9B
Image-Text-to-Text ⢠9B ⢠Updated ⢠617 ⢠15 -
inclusionAI/ZwZ2-27B
Image-Text-to-Text ⢠27B ⢠Updated ⢠632 ⢠13
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inclusionAI/Ming-3.0-audio-flash
Audio-to-Audio ⢠128B ⢠Updated ⢠1.29k ⢠71 -
inclusionAI/Ming-3.0-audio-tiny
Audio-to-Audio ⢠9B ⢠Updated ⢠2.79k ⢠55 -
inclusionAI/Ming-3.0-asr-tiny
Automatic Speech Recognition ⢠9B ⢠Updated ⢠2.14k ⢠47 -
inclusionAI/Ming-3.0-tts-tiny
Text-to-Speech ⢠9B ⢠Updated ⢠3.02k ⢠52
Ling 3.1
Ling 3.0 Fin Models
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inclusionAI/Ling-3.0-flash-Fin
Text Generation ⢠127B ⢠Updated ⢠1.86k ⢠⢠129 -
inclusionAI/FinFIRST
Viewer ⢠Updated ⢠123 ⢠1.51k ⢠21 -
inclusionAI/Ling-3.0-flash-Fin-fp8
Text Generation ⢠127B ⢠Updated ⢠280 ⢠3 -
inclusionAI/Ling-3.0-flash-Fin-int4
Text Generation ⢠127B ⢠Updated ⢠236 ⢠3
Ling 3.0
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LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes
Paper ⢠2609.03796 ⢠Published ⢠59 -
inclusionAI/LLaDA-Image
Text-to-Image ⢠7B ⢠Updated ⢠6.16k ⢠94 -
inclusionAI/LLaDA-Image-Turbo
Text-to-Image ⢠7B ⢠Updated ⢠475 ⢠49 -
inclusionAI/LLaDA-Image-FP8
Text-to-Image ⢠7B ⢠Updated ⢠148 ⢠9
Extensible Guardrails for Agentic AI via Generative Reasoning and Real-Time Classification
-
inclusionAI/SingGuard-NSFA-0.8B
Image-Text-to-Text ⢠1B ⢠Updated ⢠875 ⢠10 -
inclusionAI/SingGuard-NSFA-2B
Image-Text-to-Text ⢠3B ⢠Updated ⢠219 ⢠3 -
inclusionAI/SingGuard-NSFA-4B
Image-Text-to-Text ⢠5B ⢠Updated ⢠760 ⢠5 -
inclusionAI/SingGuard-NSFA-9B
Image-Text-to-Text ⢠9B ⢠Updated ⢠228 ⢠6
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.
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robbyant/lingbot-world-base-cam
Image-to-Video ⢠Updated ⢠348 -
robbyant/lingbot-world-base-act-preview
Image-to-Video ⢠Updated ⢠22 -
robbyant/lingbot-world-fast
Image-to-Video ⢠19B ⢠Updated ⢠62.5k ⢠23 -
robbyant/lingbot-world-fast-diffusers
Image-to-Video ⢠19B ⢠Updated ⢠4.12k ⢠8
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 ⢠6.95k ⢠280 -
inclusionAI/Ming-omni-tts-16.8B-A3B
Text-to-Speech ⢠18B ⢠Updated ⢠345 ⢠56 -
inclusionAI/Ming-omni-tts-0.5B
Text-to-Speech ⢠2B ⢠Updated ⢠16.3k ⢠43 -
inclusionAI/Ming-omni-tts-tokenizer-12Hz
Audio-to-Audio ⢠0.8B ⢠Updated ⢠165 ⢠10
-
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Paper ⢠2602.11858 ⢠Published ⢠62 -
inclusionAI/ZwZ-4B
Image-Text-to-Text ⢠5B ⢠Updated ⢠859 ⢠34 -
inclusionAI/ZwZ-8B
Image-Text-to-Text ⢠9B ⢠Updated ⢠310 ⢠50 -
inclusionAI/ZwZ-RL-VQA
Viewer ⢠Updated ⢠111k ⢠2.25k ⢠17
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inclusionAI/Ring-1T
Text Generation ⢠1000B ⢠Updated ⢠1.05k ⢠⢠233 -
inclusionAI/Ring-flash-2.0
Text Generation ⢠103B ⢠Updated ⢠1.13k ⢠104 -
inclusionAI/Ring-mini-2.0
Text Generation ⢠16B ⢠Updated ⢠1.07k ⢠188 -
inclusionAI/Ring-mini-linear-2.0
Text Generation ⢠16B ⢠Updated ⢠924 ⢠89
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inclusionAI/Ling-1T
Text Generation ⢠1000B ⢠Updated ⢠2.88k ⢠⢠546 -
inclusionAI/Ling-flash-2.0
Text Generation ⢠103B ⢠Updated ⢠3.71k ⢠222 -
inclusionAI/Ling-mini-2.0
Text Generation ⢠16B ⢠Updated ⢠4.6k ⢠208 -
inclusionAI/Ling-mini-2.0-GGUF
16B ⢠Updated ⢠1.45k ⢠28
-
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model
Paper ⢠2604.20796 ⢠Published ⢠89 -
inclusionAI/LLaDA2.0-Uni
Any-to-Any ⢠16B ⢠Updated ⢠1k ⢠251 -
inclusionAI/LLaDA2.0-Uni-FP8
Any-to-Any ⢠16B ⢠Updated ⢠67 ⢠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.
-
UI-Venus-2 Technical Report
Paper ⢠2609.00028 ⢠Published ⢠65 -
inclusionAI/UI-Venus-2-9B
Image-Text-to-Text ⢠1.47M ⢠Updated ⢠11.9k ⢠⢠44 -
inclusionAI/VenusBench-CAPTCHA
Viewer ⢠Updated ⢠219 ⢠1.69k ⢠7 -
UI-Venus-1.5 Technical Report
Paper ⢠2602.09082 ⢠Published ⢠114
-
inclusionAI/Ling-lite-1.5-2507
Text Generation ⢠17B ⢠Updated ⢠968 ⢠77 -
inclusionAI/Ling-lite-1.5-2506
Text Generation ⢠17B ⢠Updated ⢠177 ⢠52 -
inclusionAI/Ling-lite-1.5
Text Generation ⢠17B ⢠Updated ⢠1.48k ⢠57 -
inclusionAI/Ling-lite-base-1.5
Text Generation ⢠17B ⢠Updated ⢠776 ⢠33
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 ⢠179 ⢠200 -
inclusionAI/Ming-Lite-Omni-1.5
Any-to-Any ⢠19B ⢠Updated ⢠1.73k ⢠84 -
inclusionAI/Ming-UniAudio-16B-A3B
Any-to-Any ⢠18B ⢠Updated ⢠171 ⢠80