Update model card with new models and optimize the information flow

README.md

@@ -3,16 +3,24 @@ license: apache-2.0
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-## Hi there 👋
-
 ![banner](https://img.alicdn.com/imgextra/i4/O1CN01MyWfnR25ABds05qeU_!!6000000007485-2-tps-626-154.png)
 
-Welcome to the official Hugging Face organisation homepage for inclusionAI.
-
-This organisation contains the series of open-source projects from Ant Group with dedicated efforts to work towards Artificial General Intelligence (AGI).
+**Hi there** 👋 Welcome to the official homepage for inclusionAI, home for Ant Group's Artificial General Intelligence (AGI) initiative.
 
 In here you can find Large Language Models (LLM), Reinforcement Learning (RL) or other systems related to model training and inference, and other AGI-related frameworks or applications.
 
+## Our Models
+
+- [**Ling**](https://huggingface.co/collections/inclusionAI/ling-v2-68bf1dd2fc34c306c1fa6f86): The general-use line, with SKUs like mini (lightning-fast) and flash (solid performance), scaling up to our 1T model (under development).
+- [**Ring**](https://huggingface.co/collections/inclusionAI/ring-v2-68db3941a6c4e984dd2015fa): The deep reasoning and cognitive variant, with SKUs from mini (cost-efficient) to flash (well-rounded answers), also featuring a 1T flagship (under development).
+- [**Ming**](https://huggingface.co/collections/inclusionAI/ming-680afbb62c4b584e1d7848e8): The any-to-any models, unified multimodal model capable of processing images, text, audio, and video, while demonstrating strong proficiency in both speech and image generation.
+- [**LLaDA**](https://huggingface.co/collections/inclusionAI/llada-68c141bca386b06b599cfe45): LLaDA diffusion language model developed by the AGI Center, Ant Research Institutute.
+- [**GroveMoE**](https://huggingface.co/collections/inclusionAI/grovemoe-68a2b58acbb55827244ef664): GroveMoE is an open-source family of LLMs developed by the AGI Center, Ant Research Institute.
+- [**UI-Venus**](https://huggingface.co/collections/inclusionAI/ui-venus-689f2fb01a4234cbce91c56a): UI-Venus is a native UI agent based on the Qwen2.5-VL multimodal large language model, designed to perform precise GUI element grounding and effective navigation using only screenshots as input.
+- ...
+
+![weekly downloads](https://img.alicdn.com/imgextra/i1/O1CN01wcaUZE1ym133wBz6D_!!6000000006620-2-tps-1000-269.png)
+
 ### Get Involved
 
 Our work is guided by the principles of fairness, transparency, and collaboration, and we are dedicated to creating models that reflect the diversity of the world we live in.
@@ -20,22 +28,13 @@ Whether you're a researcher, developer, or simply someone passionate about AI, w
 
 - **Explore Our Models**: Check out our latest models and datasets on the inclusionAI Hub.
 - **Contribute**: Interested in contributing? Visit our [GitHub](https://github.com/inclusionAI) repository to get started.
-- **Join the Conversation**: Connect with us on [Twitter](https://x.com/ant_oss) and [Discord](https://discord.gg/2X4zBSz9c6) to stay updated on our latest projects and initiatives.
+- **Join the Conversation**: Connect with Ant Ling team at [Twitter](https://x.com/AntLingAGI), Ant Open Source team at [Twitter](https://x.com/ant_oss) or the community at [Discord](https://discord.gg/2X4zBSz9c6) to stay updated on our latest projects and initiatives.
 
-## Our Models
-
-- [**Ling**](https://huggingface.co/collections/inclusionAI/ling-67c51c85b34a7ea0aba94c32): Ling is an MoE LLM provided and open-sourced by InclusionAI.
-- [**Ming**](https://huggingface.co/collections/inclusionAI/ming-680afbb62c4b584e1d7848e8):  Ming-Omni is a unified multimodal model capable of processing images, text, audio, and video, while demonstrating strong proficiency in both speech and image generation.
-- [**Ring**](https://huggingface.co/collections/inclusionAI/ring-67e7e41bba868546ac32b260): Ring is a reasoning MoE LLM provided and open-sourced by InclusionAI, derived from Ling.
-- [**GroveMoE**](https://huggingface.co/collections/inclusionAI/grovemoe-68a2b58acbb55827244ef664): GroveMoE is an open-source family of LLMs developed by the AGI Center, Ant Research Institute.
-- ...
-
-![weekly downloads](https://img.alicdn.com/imgextra/i1/O1CN01wcaUZE1ym133wBz6D_!!6000000006620-2-tps-1000-269.png)
-
-Most models from inclusionAI can be found at our partners' hosting service. Feel free to experience the models at SiliconFlow (a third party Model as a Service) or ZenMux.ai (a third party model hosting service).
+Most models from inclusionAI can be found at our partners' hosting service. Feel free to experience the models at [SiliconFlow](https://www.siliconflow.com/) or [ZenMux.ai](https://zenmux.ai/).
 
 ## What's New
-
+- [2025/9/30] ✍🏻 [inclusionAI/Ring-1T-preview](https://huggingface.co/inclusionAI/Ring-1T-preview)
+- [2025/9/28] ✍🏻 [inclusionAI/Ring-flash-linear-2.0](https://huggingface.co/inclusionAI/Ring-flash-linear-2.0)
 - [2025/9/24] ✍🏻 [inclusionAI/Ling-flash-2.0-GGUF](https://huggingface.co/inclusionAI/Ling-flash-2.0-GGUF)
 - [2025/9/24] ✍🏻 [inclusionAI/Ring-mini-2.0-GGUF](https://huggingface.co/inclusionAI/Ring-mini-2.0-GGUF)
 - [2025/9/24] ✍🏻 [inclusionAI/Ling-mini-2.0-GGUF](https://huggingface.co/inclusionAI/Ling-mini-2.0-GGUF)
@@ -44,5 +43,4 @@ Most models from inclusionAI can be found at our partners' hosting service. Feel
 - [2025/9/17] ✍🏻 [inclusionAI/Ling-flash-2.0](https://huggingface.co/inclusionAI/Ling-flash-2.0)
 - [2025/9/11] ✍🏻 [inclusionAI/LLaDA-MoE-7B-A1B-Instruct](https://huggingface.co/inclusionAI/LLaDA-MoE-7B-A1B-Instruct)
 - [2025/9/09] ✍🏻 [inclusionAI/Ring-mini-2.0](https://huggingface.co/inclusionAI/Ring-mini-2.0)
-- [2025/9/09] ✍🏻 [inclusionAI/Ling-mini-2.0](https://huggingface.co/inclusionAI/Ling-mini-2.0) ([Ling-V2 Collection](https://huggingface.co/collections/inclusionAI/ling-v2-68bf1dd2fc34c306c1fa6f86))
-- [2025/8/29] ✍🏻 [inclusionAI/Qwen3-32B-AWorld](https://huggingface.co/inclusionAI/Qwen3-32B-AWorld)
+- [2025/9/09] ✍🏻 [inclusionAI/Ling-mini-2.0](https://huggingface.co/inclusionAI/Ling-mini-2.0) ([Ling-V2 Collection](https://huggingface.co/collections/inclusionAI/ling-v2-68bf1dd2fc34c306c1fa6f86))