AQ Med AI team says hi to everyone！👋🏻 We’re on a mission to bring more MedAI breakthroughs to the world. 🦾 We invite all researchers, developers, and Med AI geeks to join us on this journey, transforming cutting-edge research into real-world impact. 🚀💥 🔗 GitHub, HuggingFace,

Small activation,big performance, significant milestone of MoE LLM.🚀🚀🚀

𝘐𝘕𝘊𝘓𝘜𝘚𝘐𝘖𝘕 𝘐𝘚 𝘖𝘕 𝘈 𝘚𝘏𝘐𝘗𝘗𝘐𝘕𝘎 𝘚𝘗𝘙𝘌𝘌 Another addition to the Ring family, Ring-flash-2.0 (100B total, 6.1B active) is a high-performance thinking model built on Ling-flash-2.0-base, tuned with Long-CoT SFT, RLVR, and RLHF, and designed to tackle a core

🚀🚀🚀 Ring-flash-2.0 shows a new breakthrough about Long-CoT RL traning on MoE models.

Nice work！We released Ling-flash-2.0, Ring -flash-2.0, you can try more and talk to us.😇

Ring-flash-linear-2.0 ：cost effective ，as fast as flashlight ⚡️

A remarkable moment on scaling！

We are excited to share a new milestone — we've open-sourced dInfer, a high-performance inference framework for diffusion language models (dLLMs). 🚀10.7X speedup over NVIDIA’s diffusion model framework Fast-dLLM. 🧠1,011 tokens per second in single-batch inference — on the

Officially introduce Ring-1T, silver-level to the IMO 2025.🚀🚀🚀⚡️⚡️⚡️

Ant Group Launches Open-Source Ring-1T AI Model for Enhanced Natural Language Processing 🔑 Key Details: - Launch Announcement: Ant Group officially releases the Ring-1T model, open-sourced for developers via Hugging Face and other platforms. - Enhanced Capabilities: Built on

Thanks for the pick of Ling-1T, also we have its thinking version Ring-1T. Welcome to download and vibe coding with them.

Looking forward

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