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YingLong 110M

Model directory
qcw2333/YingLong_110m

110M params | CC-BY-4.0 | Upstream checkpoint

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.

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Hugging Face provider mappings checked 2026-10-06. No Inference Provider mapping was listed for this checkpoint.

Model Classification

Family

YingLong

Type

time series foundation model

Pretrained time-series model for zero-shot or few-shot forecasting workloads.

Training Data

Official model card states that the released YingLong checkpoints were pre-trained on 78B time points.

Recommended For

  • • Dense probabilistic forecasting with fine-grained quantile coverage
  • • Workloads that need richer distribution coverage than standard low-count quantile sets

Strengths

  • • Quantile-focused output head provides unusually dense probabilistic coverage
  • • Clear parameter-size ladder from 6M to 300M for cost-accuracy tradeoffs

Limitations

  • • Newer family with less public benchmark coverage than the most established TSFMs
  • • Dense quantile output increases per-token cost compared to point-forecast-only models

Capabilities

forecastingquantile-forecastingzero-shotlong-horizon

Tags

yinglongprobabilisticquality-tier

Specifications

Parameters
110M
Architecture
non-causal transformer forecaster with multi-quantile output head
Context length
n/a
Max context
n/a
Minimum history
n/a
Recommended history
n/a
Input step
n/a
Required target series
1
Temperature
Ignored
Top P
Ignored
Max output
n/a
License
CC-BY-4.0

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