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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):
```bash
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).
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