inclusionAI's Ling-3.0-flash-VL brings vision to agent workflows, with BF16 and FP8 weights.📜 MIT. 🤖 https://modelscope.ai/models/inclusionAI/Ling-3.0-flash-VL 🤖 https://modelscope.ai/models/inclusionAI/Ling-3.0-flash-VL-fp8 🏆 Scores 42 on the Artificial Analysis Intelligence Index v4.1.1, up 4 points from Ling-3.0-flash. 👁️ Read charts and documents, count objects, and reason with visual evidence. Turn web and software interfaces into action sequences. 🎬 Understand images and videos. VideoRoPE tracks space and time for event localization, long-video Q&A, and video editing workflows. 🧠 124B total parameters, just 5.5B active per token. A hybrid KDA + Gated MLA backbone supports context up to 1M tokens. 📦 Choose BF16 or FP8 for lower weight memory. Deployment recipes cover SGLang and vLLM.