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sdg_chronos_t5_small_dunnhumby
alexgrigoras/sdg_chronos_t5_small_dunnhumby
sdg_chronos_t5_small_dunnhumby is a time series forecasting model from alexgrigoras. Use it for the time series forecasting task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Synthetic time-series generation checkpoint for the DIF-PI framework.
Access
Public
Updated Mar 16, 2026
Repo size
443 MB
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0
Public
Repo makeup
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.safetensors165 MB · 57%
At a glance
- Task
- Time Series Forecasting
- Library
- transformers
- Access
- Public
- Created
- Mar 12, 2026
- Updated
- Mar 16, 2026
- SHA
- 44685abf
Base models
Model card
From the Hugging Face model README
alexgrigoras/sdg_chronos_t5_small_dunnhumby
Synthetic time-series generation checkpoint for the DIF-PI framework.
Model summary
This checkpoint is trained as a seq2seq generator on tokenized retail demand windows. It uses a T5-style encoder-decoder backbone, QLoRA when available, extended time-series special tokens, calendar conditioning, multiple-sample generation, and a seasonality-aware calibration step at inference time.
Intended use
The model is intended for research on synthetic retail demand generation and validation inside the DIF-PI framework. It is not intended for safety-critical or fully autonomous business decisions without human review.
Training setup
- Base model: amazon/chronos-t5-small
- Context length: 140
- Prediction length: 30
- Quantization bins: 4094
- Backend: lora
- Task
- Time Series Forecasting
- Library
- transformers
- Created
- Mar 12, 2026
- Updated
- Mar 16, 2026