license: other
license_name: mixed-base-model-licenses
license_link: https://github.com/TW3-Partners-OS/TW3-Cast
tags:
- time-series
- forecasting
- gift-eval
TW3Cast — expert checkpoints and replication pack
Expert checkpoints of TW3Cast, a frozen per-configuration router of lightly fine-tuned time-series foundation models evaluated on GIFT-Eval (no agent, no LLM at inference, no test-data leakage in any component).
Expert checkpoints
One entry per expert id of the routing table: <Exx>.pt (state_dict), <Exx>/
(save_pretrained or PEFT adapter directory), or <Exx>__<config>.npy (verified forecast
quantiles, for the one expert whose weights were not retained). Each expert's architecture
family (c2 = Chronos-2, tirex = TiRex, toto = Toto 2.5B LoRA) is given by experts.json
in the code repository.
Replication pack
served/<config>.npy— the served forecast quantiles of every one of the 97 configurations, shape(n_windows, 9, horizon): the exact arrays behind the submission, tournament-mode configurations included. Evaluating them with the official harness reproduces every metric of the submitted score file.submission/all_results.csv— the submitted score file (97 configurations x 12 metrics).decisions/tournament_decisions.csv— for each tournament-served configuration, the member selected on the train-side backtest and the number of per-window gate switches.
Replicate any line with one command (see the code repository):
python replicate.py --config "m4_weekly/W/short" # or --all
Code, routing table and pinned base-model revisions: https://github.com/TW3-Partners-OS/TW3-Cast
Base models remain under their original licenses (Amazon Chronos-2, NX-AI TiRex, Datadog Toto, Google TimesFM).