YingLong 110M

YingLong 110M is a higher-capacity checkpoint in the YingLong family, sitting above the 6M and 50M variants on the quality tier. It is positioned for production use where forecast quality justifies moderate latency rather than for the cheapest possible serving — the point in the ladder where you start trading inference speed for accuracy.

The official card surfaces both the newer YingLong paper and the earlier Timer-XL lineage, while the released code still shows bidirectional forecasting with quantile outputs rather than a causal decoder. In other words it keeps the family's non-causal transformer design: attention over the full input history feeding a multi-quantile output head, so prediction intervals come directly from the model. The official model card states the released YingLong checkpoints were pre-trained on 78B time points, the corpus behind the family's zero-shot reach.

On TSFM.ai reach for YingLong 110M when you want stronger zero-shot probabilistic forecasts than the 6M or 50M checkpoints can give and can absorb the moderate added latency. Drop to YingLong 50M for a balanced default or 6M for maximum throughput, and step up to YingLong 300M when accuracy is the primary concern.