TiRex 1.1 (GiftEval)
onlineNX-AI/TiRex-1.1-gifteval35M params | 2K context | $0.00025 per forecast | NX-AI Community License
TiRex 1.1 GiftEval is NX-AI's updated xLSTM-based zero-shot forecasting checkpoint with the TiRex 1.1 inference improvements and cleaned pretraining data to remove GIFT-Eval test overlap. It preserves the compact non-Transformer architecture of the original TiRex while tightening the evaluation setup for the published benchmark release.
Model Classification
Family
TiRex
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 card lists filtered autogluon/chronos_datasets, a GiftEvalPretrain subset, and synthetic data; NX-AI notes the 1.1 release also adds long period normalisation at inference time.
Recommended For
- • Compact zero-shot forecasting when you want an alternative to Transformers
- • Short- and long-horizon forecasting with probabilistic outputs
Strengths
- • xLSTM backbone differentiates it from the dominant Transformer families
- • Competitive capacity-to-quality ratio
Limitations
- • Smaller ecosystem than the biggest public TSFM families
- • Less familiar operationally if your team only benchmarks Transformer-based models
Capabilities
forecastingquantile-forecastingzero-shotlong-horizon
Tags
nx-aixlstmprobabilisticzero-shotgifteval
Specifications
- Parameters
- 35M
- Architecture
- xLSTM-based forecasting model
- Context length
- 2,048
- 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
- NX-AI Community License
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