🥳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: https://t.co/8wi28kosx5
📷 ModelScope: https://t.co/4Ob2G4DuET
#inclusionAI #LLM #OpenSource #AgenticAI
Ant's Ling-2.6-1T, released by Ant Open Source under InclusionAI, is a trillion-parameter update to the company's Ling model family, positioned specifically around precise instruction execution in AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → workflows. It succeeds the company's earlier Ling-2.5-1T flagship, and the weights are published on Hugging Face and ModelScope rather than served only through a paid API.
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
