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Time-MoE-50M

Model directory
Maple728/TimeMoE-50M

0.1B total / 50M active params | Apache-2.0 | Upstream checkpoint

Time-MoE-50M is the smaller public checkpoint in Xiaohongshu's Time-MoE family. The family naming refers to its active-parameter regime: this checkpoint activates roughly 50M parameters per forward pass even though it stores about 0.1B in total, because the inactive experts remain part of the release. It is the lightest public way to evaluate the sparse Time-MoE design.

Architecturally it is a decoder-only transformer with sparse Mixture-of-Experts routing, which lets it reach for large-capacity behavior without paying the full dense compute cost on every token. It is pretrained on Time-300B, the multi-domain corpus spanning more than nine domains and over 300B time points described in the official paper and repository, and it is released under Apache-2.0.

Where to run this model

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Hugging Face · Weights & deployment

Get model weights, deployment instructions, and current provider listings.

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.

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

forecastingzero-shothigh-throughput

Tags

timemoemoeautoregressivecost-efficient

Specifications

Parameters
0.1B total / 50M 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

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