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TEMPO

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Melady/TEMPO

80M params | 336 context | $0.00025 per forecast | Apache-2.0

TEMPO is a GPT-based time-series foundation model from USC that decomposes input series into trend, seasonal, and residual components before feeding them through a pre-trained GPT-2 backbone. This decomposition-aware prompting strategy lets the model leverage the pre-trained language model's pattern recognition for zero-shot forecasting without fine-tuning on downstream time-series data.

Model Classification

Family

TEMPO

Type

time series foundation model

Pretrained time-series model exposed on TSFM.ai for zero-shot or few-shot forecasting workloads.

Training Data

Official release is centered on the TEMPO-80M checkpoint and ships benchmark assets for ETT, electricity, traffic, and weather experiments on top of a GPT-2 base model.

Recommended For

  • • Zero-shot forecasting leveraging pre-trained language model representations
  • • Series with clear trend-seasonal structure where decomposition improves predictions

Strengths

  • • Decomposition-aware prompting lets the GPT backbone reason about trend, season, and residual separately
  • • Inherits the pattern-matching strength of the pre-trained GPT-2 backbone

Limitations

  • • GPT-2 backbone is larger than purpose-built time-series architectures at equivalent accuracy
  • • Decomposition approach assumes the input series has meaningful trend-seasonal structure
  • • Native forecast horizon is 96 steps; longer horizons require autoregressive rollout which may degrade quality

Capabilities

forecastingzero-shot

Tags

usctempogpt-baseddecompositionzero-shot

Specifications

Parameters
80M
Architecture
GPT-2 backbone with trend-seasonal decomposition prompting
Context length
336
Max context
336
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
Apache-2.0

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
TEMPO — TSFM.ai