Ring
AI & ML interests
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Papers
RODS: Reward-Driven Online Data Synthesis for Multi-Turn Tool-Use Agents
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
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inclusionAI/Ring-1T
Text Generation β’ 1000B β’ Updated β’ 78 β’ β’ 232 -
inclusionAI/Ring-1T-FP8
Text Generation β’ 1000B β’ Updated β’ 17 β’ 20 -
inclusionAI/Ring-1T-preview
Text Generation β’ 1000B β’ Updated β’ 41 β’ 268 -
inclusionAI/Ring-1T-preview-FP8
Text Generation β’ 1000B β’ Updated β’ 12 β’ 4
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LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model
Paper β’ 2604.20796 β’ Published β’ 243 -
inclusionAI/LLaDA2.0-Uni
Any-to-Any β’ 16B β’ Updated β’ 7.82k β’ 247 -
inclusionAI/LLaDA2.0-Uni-FP8
Any-to-Any β’ 16B β’ Updated β’ 6.34k β’ 5 -
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Paper β’ 2512.15745 β’ Published β’ 90
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-1.5 Technical Report
Paper β’ 2602.09082 β’ Published β’ 158 -
inclusionAI/UI-Venus-1.5-30B-A3B
Image-Text-to-Text β’ 31B β’ Updated β’ 1.39k β’ 30 -
inclusionAI/UI-Venus-1.5-8B
Image-Text-to-Text β’ 9B β’ Updated β’ 5.77k β’ 28 -
inclusionAI/UI-Venus-1.5-2B
Image-Text-to-Text β’ 2B β’ Updated β’ 1.58k β’ 39
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Ming-Omni: A Unified Multimodal Model for Perception and Generation
Paper β’ 2506.09344 β’ Published β’ 33 -
inclusionAI/Ming-Lite-Omni
Any-to-Any β’ 19B β’ Updated β’ 30 β’ 200 -
inclusionAI/Ming-Lite-Omni-1.5
Any-to-Any β’ 19B β’ Updated β’ 233 β’ 86 -
inclusionAI/Ming-UniAudio-16B-A3B
Any-to-Any β’ 18B β’ Updated β’ 39 β’ 80
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.
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inclusionAI/Ming-flash-omni-2.0
Any-to-Any β’ 104B β’ Updated β’ 2.57k β’ 266 -
inclusionAI/Ming-omni-tts-16.8B-A3B
Text-to-Speech β’ 18B β’ Updated β’ 483 β’ 51 -
inclusionAI/Ming-omni-tts-0.5B
Text-to-Speech β’ 2B β’ Updated β’ 12.3k β’ 37 -
inclusionAI/Ming-omni-tts-tokenizer-12Hz
Audio-to-Audio β’ 0.8B β’ Updated β’ 63 β’ 12
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Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Paper β’ 2602.11858 β’ Published β’ 63 -
inclusionAI/ZwZ-4B
Image-Text-to-Text β’ 5B β’ Updated β’ 305 β’ 33 -
inclusionAI/ZwZ-8B
Image-Text-to-Text β’ 9B β’ Updated β’ 421 β’ 46 -
inclusionAI/ZwZ-RL-VQA
Viewer β’ Updated β’ 111k β’ 1.72k β’ 16
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inclusionAI/Ling-1T
Text Generation β’ 1000B β’ Updated β’ 3.78k β’ β’ 543 -
inclusionAI/Ling-flash-2.0
Text Generation β’ 103B β’ Updated β’ 2.49k β’ 215 -
inclusionAI/Ling-mini-2.0
Text Generation β’ 16B β’ Updated β’ 36.3k β’ 195 -
inclusionAI/Ling-mini-2.0-GGUF
16B β’ Updated β’ 228 β’ 27
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 β’ 17B β’ Updated β’ 36 β’ 77 -
inclusionAI/Ling-lite-1.5-2506
Text Generation β’ 17B β’ Updated β’ 38 β’ 53 -
inclusionAI/Ling-lite-1.5
Text Generation β’ 17B β’ Updated β’ 42.1k β’ 58 -
inclusionAI/Ling-lite-base-1.5
Text Generation β’ 17B β’ Updated β’ 34 β’ 34
AReaL-boba-2
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 β’ 104B β’ Updated β’ 2.57k β’ 266 -
inclusionAI/Ming-omni-tts-16.8B-A3B
Text-to-Speech β’ 18B β’ Updated β’ 483 β’ 51 -
inclusionAI/Ming-omni-tts-0.5B
Text-to-Speech β’ 2B β’ Updated β’ 12.3k β’ 37 -
inclusionAI/Ming-omni-tts-tokenizer-12Hz
Audio-to-Audio β’ 0.8B β’ Updated β’ 63 β’ 12
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Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Paper β’ 2602.11858 β’ Published β’ 63 -
inclusionAI/ZwZ-4B
Image-Text-to-Text β’ 5B β’ Updated β’ 305 β’ 33 -
inclusionAI/ZwZ-8B
Image-Text-to-Text β’ 9B β’ Updated β’ 421 β’ 46 -
inclusionAI/ZwZ-RL-VQA
Viewer β’ Updated β’ 111k β’ 1.72k β’ 16
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inclusionAI/Ring-1T
Text Generation β’ 1000B β’ Updated β’ 78 β’ β’ 232 -
inclusionAI/Ring-1T-FP8
Text Generation β’ 1000B β’ Updated β’ 17 β’ 20 -
inclusionAI/Ring-1T-preview
Text Generation β’ 1000B β’ Updated β’ 41 β’ 268 -
inclusionAI/Ring-1T-preview-FP8
Text Generation β’ 1000B β’ Updated β’ 12 β’ 4
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inclusionAI/Ling-1T
Text Generation β’ 1000B β’ Updated β’ 3.78k β’ β’ 543 -
inclusionAI/Ling-flash-2.0
Text Generation β’ 103B β’ Updated β’ 2.49k β’ 215 -
inclusionAI/Ling-mini-2.0
Text Generation β’ 16B β’ Updated β’ 36.3k β’ 195 -
inclusionAI/Ling-mini-2.0-GGUF
16B β’ Updated β’ 228 β’ 27
-
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model
Paper β’ 2604.20796 β’ Published β’ 243 -
inclusionAI/LLaDA2.0-Uni
Any-to-Any β’ 16B β’ Updated β’ 7.82k β’ 247 -
inclusionAI/LLaDA2.0-Uni-FP8
Any-to-Any β’ 16B β’ Updated β’ 6.34k β’ 5 -
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Paper β’ 2512.15745 β’ Published β’ 90
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-1.5 Technical Report
Paper β’ 2602.09082 β’ Published β’ 158 -
inclusionAI/UI-Venus-1.5-30B-A3B
Image-Text-to-Text β’ 31B β’ Updated β’ 1.39k β’ 30 -
inclusionAI/UI-Venus-1.5-8B
Image-Text-to-Text β’ 9B β’ Updated β’ 5.77k β’ 28 -
inclusionAI/UI-Venus-1.5-2B
Image-Text-to-Text β’ 2B β’ Updated β’ 1.58k β’ 39
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inclusionAI/Ling-lite-1.5-2507
Text Generation β’ 17B β’ Updated β’ 36 β’ 77 -
inclusionAI/Ling-lite-1.5-2506
Text Generation β’ 17B β’ Updated β’ 38 β’ 53 -
inclusionAI/Ling-lite-1.5
Text Generation β’ 17B β’ Updated β’ 42.1k β’ 58 -
inclusionAI/Ling-lite-base-1.5
Text Generation β’ 17B β’ Updated β’ 34 β’ 34
AReaL-boba-2
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Ming-Omni: A Unified Multimodal Model for Perception and Generation
Paper β’ 2506.09344 β’ Published β’ 33 -
inclusionAI/Ming-Lite-Omni
Any-to-Any β’ 19B β’ Updated β’ 30 β’ 200 -
inclusionAI/Ming-Lite-Omni-1.5
Any-to-Any β’ 19B β’ Updated β’ 233 β’ 86 -
inclusionAI/Ming-UniAudio-16B-A3B
Any-to-Any β’ 18B β’ Updated β’ 39 β’ 80