Three quantized versions of Ling-3.0-flash-Fin are now available: FP8, FP4 and INT4.
If you’re building real-world financial workflows, you can choose the version that best fits your infrastructure, memory and efficiency needs. 🧵
quantization — Shrinking a model by storing its numbers less precisely — like rounding — so it runs faster and fits on smaller hardware, at a small quality cost.
Why it matters
Teams deploying Ling-3.0-flash-Fin for financial workflows can now pick FP8, FP4, or INT4 checkpoints to match their memory and latency constraints instead of running a single fixed precision.
