docs: update README — replace 'under construction' with completed status

- Add Apr. 2026 update entry for PEFT pipeline, unit tests, and community fixes
- Replace 'under construction' numbered list with checklist of completed items:
  Flax model, covariate support, docs/examples, PEFT pipeline, unit tests
This commit is contained in:
darkpowerxo
2026-04-08 15:25:53 -04:00
parent 54f5405b7d
commit ad192b7954
+13 -5
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@@ -22,6 +22,13 @@ This open version is not an officially supported Google product.
install timesfm==1.3.0` to install an older version of this package to load install timesfm==1.3.0` to install an older version of this package to load
them. them.
## Update - Apr. 8, 2026
Added PEFT (LoRA/DoRA) fine-tuning pipeline for TimesFM 2.5 with multi-GPU
support. See [`peft/`](peft/) for docs and usage. Also added unit tests
(`tests/`), fixed per-input ridge regression in XReg to prevent data leakage,
and incorporated several community fixes.
## Update - Mar. 19, 2026 ## Update - Mar. 19, 2026
Huge shoutout to [@borealBytes](https://github.com/borealBytes) for adding the support for [AGENTS](https://github.com/google-research/timesfm/blob/master/AGENTS.md)! TimesFM [SKILL.md](https://github.com/google-research/timesfm/blob/master/timesfm-forecasting/SKILL.md) is out. Huge shoutout to [@borealBytes](https://github.com/borealBytes) for adding the support for [AGENTS](https://github.com/google-research/timesfm/blob/master/AGENTS.md)! TimesFM [SKILL.md](https://github.com/google-research/timesfm/blob/master/timesfm-forecasting/SKILL.md) is out.
@@ -44,12 +51,13 @@ Comparing to TimesFM 2.0, this new 2.5 model:
- gets rid of the `frequency` indicator. - gets rid of the `frequency` indicator.
- has a couple of new forecasting flags. - has a couple of new forecasting flags.
Along with the model upgrade we have also upgraded the inference API. This repo Since the Sept. 2025 launch, the following improvements have been completed:
will be under construction over the next few weeks to
1. add support for an upcoming Flax version of the model (faster inference). 1. ✅ Flax version of the model for faster inference.
2. add back covariate support. 2. ✅ Covariate support via XReg (see Oct. 2025 update).
3. populate more docstrings, docs and notebook. 3. ✅ Documentation, examples, and agent skill (see `timesfm-forecasting/`).
4. ✅ PEFT fine-tuning pipeline with LoRA/DoRA and multi-GPU support (see `peft/`).
5. ✅ Unit tests for core layers, configs, and utilities (see `tests/`).
### Install ### Install