YingLong 50M
onlineqcw2333/YingLong_50m50M params | 4K context | $0.00025 per forecast | CC-BY-4.0
YingLong 50M is the mid-size checkpoint in the YingLong family, balancing forecast quality with inference speed. Like the smaller YingLong release, the official first-party surfaces describe a bidirectional forecasting model with quantile outputs rather than a causal decoder. It is a good default when you want more capacity than the 6M variant without the latency of the larger checkpoints.
Model Classification
Family
YingLong
Type
time series foundation model
Pretrained time-series model exposed on TSFM.ai for zero-shot or few-shot forecasting workloads.
Resources
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-shot
Tags
yinglongprobabilistic
Specifications
- Parameters
- 50M
- Architecture
- non-causal transformer forecaster with multi-quantile output head
- Context length
- 4,096
- Max context
- 8,192
- Minimum history
- n/a
- Recommended history
- n/a
- Input step
- n/a
- Required target series
- 1
- Temperature
- Ignored
- Top P
- Ignored
- Max output
- 1,024
- Avg latency
- n/a
- Uptime
- n/a
- Plan limits
- 1,000 rpm free · 1,000,000 rpm with billing
- Accelerator
- T4
- Regions
- Virginia, US
- License
- CC-BY-4.0
Pricing
- Per forecast
- $0.00025
Performance
- Average latency
- n/a
- Availability
- n/a
- Plan limits
- 1,000 rpm free · 1,000,000 rpm with billing