Today, we’re releasing Ling-3.0-tiny: 7.9B total parameters, with only 1.3B active per token. A native hybrid reasoning model built for real-world tasks, math, instruction following, and resource-sensitive deployment. More intelligence with less compute. 🧵

🔒📚 Demo: Fully Local Inference & Knowledge Retrieval Ling-3.0-tiny runs entirely locally, with no cloud dependency. Integrated with obsidian-cli, it can retrieve, organize, and generate content from local text repositories—reducing data exposure and network overhead.
⚡ Demo: Fast Local Generation for Everyday Tasks Ling-3.0-tiny delivers precise text generation for local web translation and routine tasks, helping reduce compute and operational costs for high-frequency API workloads.
🛠️ Demo: Tool Use & Automated Environment Control Ling-3.0-tiny natively supports tool use for cost-efficient automation, making it well suited to mobile-device and browser UI control tasks.
A 7.9B hybrid with 1.3B active parameters and native is available through OpenRouter and Vercel's gateway, so cheap small-model loops can be tested before committing to a larger model.
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