Time-MoE-200M
Model directoryMaple728/TimeMoE-200M0.5B total / 200M active params | Apache-2.0 | Upstream checkpoint
Time-MoE-200M is the larger public checkpoint in Xiaohongshu's Time-MoE family. The official paper and repo position the family as a way to scale time-series model capacity more efficiently than dense decoder-only models while keeping long-context autoregressive forecasting practical, and this checkpoint is the higher-capacity option in that line.
Architecturally it is a decoder-only transformer with sparse Mixture-of-Experts routing: the published checkpoint reports about 0.5B stored parameters while activating only roughly 200M per forward pass, so it buys large-model capacity without dense-model inference cost. It is pretrained on Time-300B, the multi-domain corpus spanning more than nine domains and over 300B time points described in the official materials, and it is released under Apache-2.0.
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Hugging Face provider mappings checked 2026-10-06. No Inference Provider mapping was listed for this checkpoint.
Model Classification
Family
Time-MoE
Type
time series foundation model
Pretrained time-series model for zero-shot or few-shot forecasting workloads.
Resources
Training Data
Time-300B, a multi-domain corpus spanning more than nine domains and over 300B time points, per the official paper and repository.
Recommended For
- • Long-context forecasting with sparse-expert scaling
- • Teams exploring MoE behavior in time-series foundation models
Strengths
- • Sparse experts offer large-capacity behavior without a fully dense footprint
- • Well aligned to long-context autoregressive forecasting
Limitations
- • MoE operational behavior can be less familiar than dense baselines
- • Not the best first pick if you just need a simple compact deployment
Capabilities
Tags
Specifications
- Parameters
- 0.5B total / 200M active
- Architecture
- decoder-only transformer with sparse Mixture-of-Experts routing
- 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
- Apache-2.0