Ring
AI & ML interests
None defined yet.
Recent Activity
Papers
Rethinking Shrinkage Bias in LLM FP4 Pretraining: Geometric Origin, Systemic Impact, and UFP4 Recipe
RODS: Reward-Driven Online Data Synthesis for Multi-Turn Tool-Use Agents
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inclusionAI/Ring-1T
Text Generation ⢠1000B ⢠Updated ⢠93 ⢠⢠232 -
inclusionAI/Ring-1T-FP8
Text Generation ⢠1000B ⢠Updated ⢠18 ⢠20 -
inclusionAI/Ring-1T-preview
Text Generation ⢠1000B ⢠Updated ⢠46 ⢠268 -
inclusionAI/Ring-1T-preview-FP8
Text Generation ⢠1000B ⢠Updated ⢠14 ⢠4
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LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model
Paper ⢠2604.20796 ⢠Published ⢠243 -
inclusionAI/LLaDA2.0-Uni
Any-to-Any ⢠16B ⢠Updated ⢠8.62k ⢠247 -
inclusionAI/LLaDA2.0-Uni-FP8
Any-to-Any ⢠16B ⢠Updated ⢠6.77k ⢠5 -
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Paper ⢠2512.15745 ⢠Published ⢠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 ⢠2602.09082 ⢠Published ⢠158 -
inclusionAI/UI-Venus-1.5-30B-A3B
Image-Text-to-Text ⢠31B ⢠Updated ⢠2k ⢠30 -
inclusionAI/UI-Venus-1.5-8B
Image-Text-to-Text ⢠9B ⢠Updated ⢠6.95k ⢠28 -
inclusionAI/UI-Venus-1.5-2B
Image-Text-to-Text ⢠2B ⢠Updated ⢠1.65k ⢠39
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Ming-Omni: A Unified Multimodal Model for Perception and Generation
Paper ⢠2506.09344 ⢠Published ⢠33 -
inclusionAI/Ming-Lite-Omni
Any-to-Any ⢠19B ⢠Updated ⢠38 ⢠200 -
inclusionAI/Ming-Lite-Omni-1.5
Any-to-Any ⢠19B ⢠Updated ⢠256 ⢠86 -
inclusionAI/Ming-UniAudio-16B-A3B
Any-to-Any ⢠18B ⢠Updated ⢠68 ⢠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 ⢠104B ⢠Updated ⢠2.81k ⢠266 -
inclusionAI/Ming-omni-tts-16.8B-A3B
Text-to-Speech ⢠18B ⢠Updated ⢠543 ⢠51 -
inclusionAI/Ming-omni-tts-0.5B
Text-to-Speech ⢠2B ⢠Updated ⢠13.5k ⢠37 -
inclusionAI/Ming-omni-tts-tokenizer-12Hz
Audio-to-Audio ⢠0.8B ⢠Updated ⢠62 ⢠12
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Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Paper ⢠2602.11858 ⢠Published ⢠63 -
inclusionAI/ZwZ-4B
Image-Text-to-Text ⢠5B ⢠Updated ⢠328 ⢠33 -
inclusionAI/ZwZ-8B
Image-Text-to-Text ⢠9B ⢠Updated ⢠495 ⢠46 -
inclusionAI/ZwZ-RL-VQA
Viewer ⢠Updated ⢠111k ⢠1.71k ⢠16
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inclusionAI/Ling-1T
Text Generation ⢠1000B ⢠Updated ⢠4.09k ⢠⢠543 -
inclusionAI/Ling-flash-2.0
Text Generation ⢠103B ⢠Updated ⢠2.46k ⢠215 -
inclusionAI/Ling-mini-2.0
Text Generation ⢠16B ⢠Updated ⢠40.6k ⢠195 -
inclusionAI/Ling-mini-2.0-GGUF
16B ⢠Updated ⢠319 ⢠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 ⢠17B ⢠Updated ⢠40 ⢠77 -
inclusionAI/Ling-lite-1.5-2506
Text Generation ⢠17B ⢠Updated ⢠44 ⢠53 -
inclusionAI/Ling-lite-1.5
Text Generation ⢠17B ⢠Updated ⢠47.7k ⢠58 -
inclusionAI/Ling-lite-base-1.5
Text Generation ⢠17B ⢠Updated ⢠42 ⢠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 ⢠104B ⢠Updated ⢠2.81k ⢠266 -
inclusionAI/Ming-omni-tts-16.8B-A3B
Text-to-Speech ⢠18B ⢠Updated ⢠543 ⢠51 -
inclusionAI/Ming-omni-tts-0.5B
Text-to-Speech ⢠2B ⢠Updated ⢠13.5k ⢠37 -
inclusionAI/Ming-omni-tts-tokenizer-12Hz
Audio-to-Audio ⢠0.8B ⢠Updated ⢠62 ⢠12
-
Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
Paper ⢠2602.11858 ⢠Published ⢠63 -
inclusionAI/ZwZ-4B
Image-Text-to-Text ⢠5B ⢠Updated ⢠328 ⢠33 -
inclusionAI/ZwZ-8B
Image-Text-to-Text ⢠9B ⢠Updated ⢠495 ⢠46 -
inclusionAI/ZwZ-RL-VQA
Viewer ⢠Updated ⢠111k ⢠1.71k ⢠16
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inclusionAI/Ring-1T
Text Generation ⢠1000B ⢠Updated ⢠93 ⢠⢠232 -
inclusionAI/Ring-1T-FP8
Text Generation ⢠1000B ⢠Updated ⢠18 ⢠20 -
inclusionAI/Ring-1T-preview
Text Generation ⢠1000B ⢠Updated ⢠46 ⢠268 -
inclusionAI/Ring-1T-preview-FP8
Text Generation ⢠1000B ⢠Updated ⢠14 ⢠4
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inclusionAI/Ling-1T
Text Generation ⢠1000B ⢠Updated ⢠4.09k ⢠⢠543 -
inclusionAI/Ling-flash-2.0
Text Generation ⢠103B ⢠Updated ⢠2.46k ⢠215 -
inclusionAI/Ling-mini-2.0
Text Generation ⢠16B ⢠Updated ⢠40.6k ⢠195 -
inclusionAI/Ling-mini-2.0-GGUF
16B ⢠Updated ⢠319 ⢠27
-
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model
Paper ⢠2604.20796 ⢠Published ⢠243 -
inclusionAI/LLaDA2.0-Uni
Any-to-Any ⢠16B ⢠Updated ⢠8.62k ⢠247 -
inclusionAI/LLaDA2.0-Uni-FP8
Any-to-Any ⢠16B ⢠Updated ⢠6.77k ⢠5 -
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Paper ⢠2512.15745 ⢠Published ⢠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 ⢠2602.09082 ⢠Published ⢠158 -
inclusionAI/UI-Venus-1.5-30B-A3B
Image-Text-to-Text ⢠31B ⢠Updated ⢠2k ⢠30 -
inclusionAI/UI-Venus-1.5-8B
Image-Text-to-Text ⢠9B ⢠Updated ⢠6.95k ⢠28 -
inclusionAI/UI-Venus-1.5-2B
Image-Text-to-Text ⢠2B ⢠Updated ⢠1.65k ⢠39
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inclusionAI/Ling-lite-1.5-2507
Text Generation ⢠17B ⢠Updated ⢠40 ⢠77 -
inclusionAI/Ling-lite-1.5-2506
Text Generation ⢠17B ⢠Updated ⢠44 ⢠53 -
inclusionAI/Ling-lite-1.5
Text Generation ⢠17B ⢠Updated ⢠47.7k ⢠58 -
inclusionAI/Ling-lite-base-1.5
Text Generation ⢠17B ⢠Updated ⢠42 ⢠34
AReaL-boba-2
-
Ming-Omni: A Unified Multimodal Model for Perception and Generation
Paper ⢠2506.09344 ⢠Published ⢠33 -
inclusionAI/Ming-Lite-Omni
Any-to-Any ⢠19B ⢠Updated ⢠38 ⢠200 -
inclusionAI/Ming-Lite-Omni-1.5
Any-to-Any ⢠19B ⢠Updated ⢠256 ⢠86 -
inclusionAI/Ming-UniAudio-16B-A3B
Any-to-Any ⢠18B ⢠Updated ⢠68 ⢠80