Ant Open Source

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Ant Open Source

Ant Open Source

@ant_oss

All things open source at Ant Group. We aim to bring high caliber infrastructure FinTech OSS to the community.

Katılım Mart 2024
94 Takip Edilen1.7K Takipçiler
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InclusionAI
InclusionAI@TheInclusionAI·
Today we're open-sourcing SingGuard-NSFA, a security guardrail framework purpose-built for autonomous AI agents. As AI evolves from generating content to taking actions, security must move beyond model safety to runtime safety. SingGuard-NSFA helps defend against agent-specific threats such as prompt injection, goal hijacking, tool misuse, and permission abuse before actions are executed. The release includes: 🔐A taxonomy covering 185 agent attack scenarios across 7 categories 📊 A multilingual benchmark with nearly 100K test samples in 133 languages 🔧 Lightweight models optimized for real-world deployment We hope this project helps researchers and developers build safer, more trustworthy agentic AI. 🔗GitHub: github.com/inclusionAI/Si… 🔗Hugging Face : huggingface.co/collections/in… 🔗ModelScope: modelscope.cn/collections/in… #inclusionAI #OpenSource #AI #AISecurity #AgenticAI
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Ant Open Source
Ant Open Source@ant_oss·
Robots need physical grounding, not just visual beauty. Built for embodied AI — 🔥LingBot-Video, the first MoE-based video foundation model built for embodied intelligence. 💥Fully open-source! 🔗 Model: huggingface.co/collections/ro… 🔗 Code: github.com/Robbyant/lingb… 🔗 Paper: github.com/Robbyant/lingb… 🔗 Project Page: technology.robbyant.com/lingbot-video
Robbyant@robbyant_brain

Today we open-source LingBot-Video — the first MoE-based video foundation model built for embodied intelligence. 🔹30B params, only 3B active at inference. 🔹Augmented with 70K hours of embodied data on top of large-scale internet video pretraining. 🔹Already outperforming Wan2.6, Seedance 1.5 Pro, and Cosmos3 Super on RBench. 🧵👇

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Ant Open Source
Ant Open Source@ant_oss·
Introducing LingBot-VLA 2.0! 🔥Outstanding performance: 📊AgileX Cobot Magic (Progress Score / Success Rate): 66.2 / 34.4% 🦾 Galaxea R1 Pro: 34.6 / 15.6% Fully open source⬇️ · GitHub: github.com/Robbyant/lingb… · HuggingFace:· huggingface.co/collections/ro… · Tech Report: github.com/Robbyant/lingb… #inclusionAI #LingBot #EmbodiedAI #Robotics #OpenSource #VLA
Robbyant@robbyant_brain

🤖 LingBot-VLA 2.0 is now open-source — our next-gen embodied foundation model. 🔷 60,000 hours of high-quality pretraining data — combining curated robotic demonstrations and egocentric human operation videos 🔷 20 robot configurations across 17 brands — Astribot, Leju, Unitree, Franka, Fourier, Realman, and more 🔷 Whole-body DoF: heads, waists, dexterous hands, and mobile bases — enabling far more complex task scenarios 🔷 Inference under 130ms on RTX 4090 — developer events launching soon #EmbodiedAI #Robotics #OpenSource #VLA

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Ant Open Source
Ant Open Source@ant_oss·
Let robots break through the "see clearly, see precisely, see stably" bottleneck and accelerate embodied AI at scale. 🚀 Meet LingBot-Depth 2.0! Powered by LingBot-Vision — the first visual foundation model to use "boundary structure" as a pretraining objective. #LingBot #Robotics #DepthEstimation #OpenSource #EmbodiedAI 🤗huggingface.co/collections/ro… 📷github.com/Robbyant/lingb…
Robbyant@robbyant_brain

🪞 Glass. Mirrors. Transparent objects. — The nightmare of every depth camera. We just solved it! Introducing LingBot-Depth 2.0: 150M-scale training, half the depth error, 12/16 benchmarks topped. Powered by LingBot-Vision — the visual foundation model behind Depth's breakthrough. Both released today. LingBot-Vision is fully open-sourced. 🧵👇 #Robotics #DepthEstimation #OpenSource #EmbodiedAI

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Ant Open Source
Ant Open Source@ant_oss·
AReaL 2.0 is not just a release — it is an open invitation. 🤗If you are building agents, RL systems, inference backends, training stacks, hardware platforms, or evaluation tooling, we’d love to collaborate. Join us in building open infrastructure for self-evolving agents. 🧠 GitHub: github.com/areal-project/… 📓 Tech Report: github.com/areal-project/…
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Ant Open Source
Ant Open Source@ant_oss·
🤔What does "RL as Micro-Service" actually mean? ⬅️Before: agent app ↔️ RL training = heavy engineering bridge ➡️Now: same agent, point to AReaL endpoint, get online learning loop with trajectory capture + async training + hot weight swap With AReaL 2.0, RL components are decomposed into micro-services: Training Service, Inference Serivce, WeightUpdate Service and Agent Service. Existing agents can connect by switching their model endpoint to an AReaL-managed entry point.
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Ant Open Source
Ant Open Source@ant_oss·
LLM agents are moving into production: coding, research, tool use, customer support, automation. But most agents are still static after deployment. AReaL 2.0 is here🔥Introducing RL as Micro-Service for online learning agents, focusing on the missing systems layer: turning real agent workloads into governed, replayable, trainable online RL loops. This is the community's first major move after @AReaL_AI joined the @PyTorch Ecosystem — and a big step toward open, collaborative infrastructure for agentic RL. #opensource #agenticRL #AReaL #ReinforcementLearning
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AReaL Project
AReaL Project@AReaL_AI·
🙌Welcome to the AReaL community. First tweet.💥Big release. We are excited to announce the release of AReaL 2.0: RL as Micro-Service! Thanks to the great efforts from the AReaL community and collaborators❤️ In AReaL 2.0, we rebuilt online agent RL around four decoupled components: Training Service, Inference Serivce, WeightUpdate Service and Agent Service. Change one URL in your existing agent, start learning from production traffic. #AIAgent #agenticRL #AReaL #LLM 💻 GitHub: github.com/areal-project/…
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Ant Open Source
Ant Open Source@ant_oss·
🔥New release from @TheInclusionAI: FinixDoc — agentic parsing for financial documents in the wild. Insurance claims. Medical receipts. Bank statements. What makes it work: ✅ Domain-specific training on homoglyph visual variants ✅ RL reward shaping across text, layout, tables & reading order ✅ Scalable data factory with human-in-the-loop quality control 🏆 81.43 on FinixDocBench 📈 92% success on large/dense pages Try the dataset → huggingface.co/datasets/inclu… Tech report → openreview.net/forum?id=kjgpN… #DocumentAI #OCR #opensource #inclusionAI #FinTech
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Ant Open Source
Ant Open Source@ant_oss·
Ring-2.6-1T is open sourced with🧱Agent-optimized, ⏩adjustable thinking effort, 🧠Deep Thinking features, and worth-mentioned xhigh for complex reasoning. #LLM #opensource 🤗 Hugging Face huggingface.co/inclusionAI/Ri… 📷 ModelScope modelscope.ai/models/inclusi… And we are looking forward for feedbacks! 💬 Join the Ant Ling Discord community discord.com/invite/jQtDsU5…
Ant Ling@AntLingAGI

🚀 Ring-2.6-1T is now open source. A trillion-scale flagship thinking model built for real-world complex tasks: Agent workflows, coding & engineering, long-horizon tasks, complex reasoning, research, and enterprise automation. It is designed to move beyond “answering” toward execution: understanding context, planning steps, calling tools, and staying stable across long task chains. Highlights： - Advanced agentic workflow support. - Reasoning effort levels: high for agentic tasks, xhigh for complex reasoning. - Scalable asynchronous RL via the IcePop algorithm, enabling stable, trillion-scale training for long-horizon agentic RL.

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Ant Open Source
Ant Open Source@ant_oss·
A new milestone for Ant Design!🎉 #libraries" target="_blank" rel="nofollow noopener">react.foundation/impact#librari… Ant Design is a complete design ecosystem for enterprise-level products, dedicated to building better user experiences across web, mobile, and beyond #opensource #ReactJS 🎨Explore Ant Design: github.com/ant-design
Ant Design@AntDesignUI

Ant Design is now part of the React Foundation Supported Ecosystem 🎉 @reactjs @sethwebster github.com/react-foundati…

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Ant Open Source
Ant Open Source@ant_oss·
🥳Announcing a milestone of our open-source ecosystem: AReaL of @TheInclusionAI is now part of the @PyTorch Landscape 🎉 landscape.pytorch.org AReaL is a modular RL infrastructure that connects foundation model training with downstream agent applications. Built on a fully asynchronous RL training paradigm, AReaL provides: ✅Modular Architecture✅Plug-and-Play RL as a Service✅Ecosystem Compatibility: Joining PyTorch Landscape validates our commitment to open, collaborative AI development — and our mission to make RL training accessible to every developer. #OpenSource #PyTorchFoundation #PyTorch #ReinforcementLearning #LLM 🪐Explore AReaL: github.com/inclusionAI/AR…
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Ant Open Source
Ant Open Source@ant_oss·
🥳Introducing Ling-2.6-1T, built for the Agentic era, and designed for precise instruct task execution! Highlights: 📊 Intelligence-Efficiency🛠️ Engineering-Task-Friendly🔍 Production-First Try out our flagship model: 🤗 Hugging Face: huggingface.co/inclusionAI/Li… 📷 ModelScope: modelscope.cn/models/inclusi… #inclusionAI #LLM #OpenSource #AgenticAI
Ant Ling@AntLingAGI

Last week, we introduced Ling-2.6-1T. Today, Ling-2.6-1T is officially an open model~ 🤗 1T total parameters · 63B active parameters We bring values to developers by making it easier to test, deploy, customize, and build. It is optimized to be "token efficiency" for real production needs: • Lower token overhead: strong intelligence without long reasoning traces • Reliable multi-step execution: better instruction, tool, context, and workflow control • Production-ready deployment: from code generation to bug fixing, with broad agent framework compatibility A sneak pick into the agentic capability in @opencode

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Ant Open Source
Ant Open Source@ant_oss·
Designed for 🚀high token efficiency, Ling-2.6-flash is now opensource! ✅ Built for Agent scenarios ✅ Hybrid Linear Architecture ✅ Token-Efficiency Optimization ✅ Intelligence Delivered Blazingly Fast try out now: 🤖 Hugging Face: huggingface.co/inclusionAI/Li… ⚙️ ModelScope: modelscope.cn/models/inclusi… #OpenSource #LLM #inlcusionAI #AIAgent
Ant Ling@AntLingAGI

Ling-2.6-flash is now officially open-sourced! A fast, token-efficient Instruct model built for real-world agent workflows. 104B total parameters · 7.4B active parameters Available in BF16, FP8, and INT4 variants for different deployment needs. Key strengths: - Fast generation: 215 tokens/s on Artificial Analysis Output Speed - High token efficiency: only 15M tokens on the full AA Intelligence Index evaluation - Real task execution: strong performance across coding, document processing, and lightweight agent workflows - Improved experience: better Chinese-English switching and smoother compatibility with mainstream coding frameworks

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Ant Open Source retweetledi
ModelScope
ModelScope@ModelScope2022·
✨ Inclusion AI's LLaDA2.0-Uni is open-source! A single MoE-based diffusion LLM that unifies visual understanding and image generation — natively, in one model. Download on ModelScope 👉 modelscope.ai/models/inclusi… Built on a single Mask Token Prediction paradigm, LLaDA2.0-Uni handles: 🖼️ Text-to-image synthesis at 1024×1024, with the option to "think" before drawing 🔍 Visual question answering, captioning, and document understanding on par with dedicated VLMs ✏️ Instruction-driven image editing — single or multi-reference, faithful to original details 🎨 Interleaved text-image reasoning, opening the door to a new class of multimodal chains Released under Apache 2.0 — paper, code, and weights all open. 📄 modelscope.ai/papers/2604.20… 🔗 github.com/inclusionAI/LL…
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LMSYS Org
LMSYS Org@lmsysorg·
The DeepSeek V4 garbled output bug in open source inference engine is fixed in SGLang. To everyone affected over the weekend, sorry for the trouble. Huge thanks to @Ant_Group for landing the fix PR. It was a cross-company, cross-timezone, sub-48-hour marathon. @ollama and @humansand surfaced it first; @nvidia, @AIatMeta, and @FireworksAI_HQ raised the same signal soon after. @deepseek_ai replied in seconds at every hour. @FireworksAI_HQ stayed up late with us until it shipped. @SemiAnalysis_ and @ollama provided the machines that made the debugging possible. The SGLang team dug in through the weekend. The real OSS is the friends we made along the way.🫶
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Ant Open Source
Ant Open Source@ant_oss·
🆕We're open-sourcing DR-Venus — a 4B #deepresearch agent built entirely on open data. Built with two-stage training: SFT with strict cleaning → RL with IGPO turn-level optimization, and Dense credit assignment for 200+ turn trajectories. What's inside: ✅ Training code & recipes ✅ Model checkpoints (GGUF format for edge deployment) ✅Reproducible paper with our technical details #inclusionAI #OpenSource #AIAgent 🤗 Models: huggingface.co/collections/in… 📄 Paper: arxiv.org/abs/2604.19859 🐙 Code: github.com/inclusionAI/DR… #OpenSource #DeepResearch #EdgeAI #AIAgent
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Keşfet

@reactorworld @AReaL_AI @PyTorch @TheInclusionAI @Ant_Group @ollama @humansand @nvidia