AzulGarza · Oct 26, 2026 · Oct 22, 2026 · Oct 22, 2026 · Oct 22, 2026 · Oct 26, 2026
diff --git a/README.md b/README.md
@@ -87,6 +87,7 @@ Pass any Hugging Face `repo_id` (or local checkpoint path) supported by the unde
 | <img src="https://timecopilot.s3.amazonaws.com/public/data/images/logos/ibm.png" width="28" alt="IBM"> | [PatchTST-FM](https://arxiv.org/abs/2602.06909) | ✓ | ✓ | ✓ | ✓ | | | CC-BY-NC-SA-4.0 |
 | <img src="https://timecopilot.s3.amazonaws.com/public/data/images/logos/thuml.png" width="28" alt="THUML"> | [Sundial](https://arxiv.org/abs/2502.00816) | ✓ | ✓ | ✓ | ✓ | | | Apache-2.0 |
 | <img src="https://timecopilot.s3.amazonaws.com/public/data/images/logos/tfc.png" width="28" alt="The Forecasting Company"> | [T0](https://huggingface.co/theforecastingcompany/t0-alpha) | ✓ | ✓ | ✓ | ✓ | ✓ | | Apache-2.0† |
+| <img src="https://timecopilot.s3.amazonaws.com/public/data/images/logos/huawei-noah.png" width="28" alt="Huawei Paris Noah's Ark Lab"> | [Tabby](https://arxiv.org/abs/2609.13956) | ✓ | ✓ | ✓ | ✓ | | | CC-BY-NC-4.0 |
 | <img src="https://timecopilot.s3.amazonaws.com/public/data/images/logos/priorlabs.png" width="28" alt="Prior Labs"> | [TabPFN](https://arxiv.org/abs/2501.02945) | ✓ | ✓ | ✓ | ✓ | | | TabPFN NC‡ |
 | <img src="https://timecopilot.s3.amazonaws.com/public/data/images/logos/tafsut.png" width="28" alt="Tafsut"> | [Tafsut](https://github.com/Tafsut-FM/tafsut) | ✓ | ✓ | ✓ | ✓ | | | MIT |
 | <img src="https://timecopilot.s3.amazonaws.com/public/data/images/logos/nx-ai.png" width="28" alt="NX-AI"> | [TiRex](https://arxiv.org/abs/2505.23719) | ✓ | ✓ | ✓ | ✓ | ✓¶ | | Community / Apache-2.0 |
@@ -103,7 +104,7 @@ Licenses verified against Hugging Face model cards. Check the model card for you
 <details><summary><strong>What this means for production</strong></summary>
 
 - **Apache-2.0**, **MIT**: generally fine for commercial production (retain notices; T0† is also gated on Hugging Face: accept terms and set `HF_TOKEN`).
-- **CC-BY-NC-4.0** (Moirai), **CC-BY-NC-SA-4.0** (PatchTST-FM r1 checkpoints): **non-commercial** only; not for revenue-generating production without a separate agreement from the rights holder.
+- **CC-BY-NC-4.0** (Moirai, Tabby), **CC-BY-NC-SA-4.0** (PatchTST-FM r1 checkpoints): **non-commercial** only; not for revenue-generating production without a separate agreement from the rights holder.
 - **Apache-2.0 / OpenMDW 1.0** (Granite PatchTST-FM r2): commercial-friendly; choose either license per the [model card](https://huggingface.co/ibm-granite/granite-timeseries-patchtst-fm-r2).
 - **TimesFM 3.0**: weights for `google/timesfm-3.0-pytorch` are [non-commercial](https://huggingface.co/google/timesfm-3.0-pytorch/blob/main/LICENSE); TimesFM 1.0–2.5 checkpoints remain Apache-2.0.
 - **TabPFN NC**‡: TabPFN-2.6+ and TabPFN-3 weights are non-commercial; production requires a [Prior Labs commercial license or API](https://docs.priorlabs.ai/models). First LOCAL use requires accepting terms at [ux.priorlabs.ai](https://ux.priorlabs.ai) (`TABPFN_TOKEN`). TabPFN-3 is LOCAL-only today.
@@ -126,6 +127,7 @@ Some models require specific Python versions (e.g. FlowState 3.11-3.13, TabPFN &
 - **PatchTST-FM:** `ibm-research/patchtst-fm-r1`, `ibm-granite/granite-timeseries-patchtst-fm-r1`, `ibm-granite/granite-timeseries-patchtst-fm-r2` (r2 requires `granite-tsfm>=0.3.9`)
 - **Sundial:** `thuml/sundial-base-128m`
 - **T0:** `theforecastingcompany/t0-alpha`, `theforecastingcompany/t0-beta`, `theforecastingcompany/t0-gamma` (requires `tfc-t0[torch]>=0.6.0`)
+- **Tabby:** `paris-noah/Tabby` (requires `trust_remote_code`; CC-BY-NC-4.0)
 - **TabPFN:** default `tabpfn-v2-regressor-2noar4o2.ckpt`; TabPFN-3 via `model_path="tabpfn-v3-regressor-v3_20260506_timeseries.ckpt"` (LOCAL, `TABPFN_TOKEN`); or CLIENT mode with a Prior Labs API token
 - **Tafsut:** `Tafsut-FM/tafsut-univariate-base`
 - **TiRex:** `NX-AI/TiRex`, `NX-AI/TiRex-2`
@@ -145,6 +147,7 @@ Recent additions and checkpoints (newest first). See the [changelog](https://git
 
 | When | What | Checkpoint / detail |
 |------|------|---------------------|
+| Oct 2026 | [**Tabby**](https://huggingface.co/paris-noah/Tabby) | `paris-noah/Tabby` — 99 native quantiles; `trust_remote_code`; CC-BY-NC-4.0 |
 | Oct 2026 | [**TimeH2O**](https://huggingface.co/h2oai/timeh2o-v1) | `h2oai/timeh2o-v1`, `h2oai/timeh2o-v1-tiny` — requires `h2ofm>=0.43.0` (Python 3.12+); native `X_df`; GIFT-Eval and fev-bench CI ([v0.1.16](https://github.com/TimeCopilot/foundationforecast/blob/main/docs/changelogs/v0.1.16.md)) |
 | Oct 2026 | [**Timestral**](https://huggingface.co/collections/mistralai/timestral) | `mistralai/Timestral-{5M,28M,123M,209M}` — requires `timecopilot-timestral>=0.1.0`; native `X_df`; GIFT-Eval and fev-bench CI ([v0.1.15](https://github.com/TimeCopilot/foundationforecast/blob/main/docs/changelogs/v0.1.15.md)) |
 | Oct 2026 | [**T0 gamma**](https://huggingface.co/theforecastingcompany/t0-gamma) | `theforecastingcompany/t0-gamma` — requires `tfc-t0[torch]>=0.6.0`; GIFT-Eval and fev-bench CI ([v0.1.14](https://github.com/TimeCopilot/foundationforecast/blob/main/docs/changelogs/v0.1.14.md)) |

diff --git a/docs/api/models/foundation/models.md b/docs/api/models/foundation/models.md
@@ -82,6 +82,17 @@
             - plot
             - supports_native_futr_exog
 
+::: foundationforecast.models.tabby.Tabby
+    options:
+        show_root_heading: true
+        show_root_full_path: false
+        members:
+            - forecast
+            - cross_validation
+            - detect_anomalies
+            - plot
+            - supports_native_futr_exog
+
 ::: foundationforecast.models.tabpfn.TabPFN
     options:
         show_root_heading: true

diff --git a/docs/examples/index.md b/docs/examples/index.md
@@ -20,6 +20,7 @@ For model API details, see the [Model Hub](../model-hub.md).
 | [Chronos Family](chronos-family.ipynb) | Forecast with Chronos 1.x and 2.x checkpoints | Python 3.10+ |
 | [TimesFM Family](timesfm-family.ipynb) | Forecast with TimesFM 1.0, 2.0, 2.5, and 3.0 with prediction intervals | Python 3.10+ |
 | [TiRex Family](tirex-family.ipynb) | Forecast with TiRex 1.0 and 2.0 | Python 3.11+ |
+| [Tabby Family](tabby-family.ipynb) | Cross-validate Tabby (`paris-noah/Tabby`) with its published GIFT-Eval inference settings | Python 3.10+ |
 | [TabPFN Family](tabpfn-family.ipynb) | Forecast with TabPFN-2 and TabPFN-3 (LOCAL) | Python 3.10–3.12; `TABPFN_TOKEN` |
 | [Toto Family](toto-family.ipynb) | Forecast with Toto 1.0 and 2.0 | Python 3.10+ |
 | [PatchTST-FM Family](patchtst-fm-family.ipynb) | Forecast with IBM Research and Granite PatchTST-FM r1/r2 | Python 3.11–3.13; GPU recommended |

diff --git a/docs/examples/tabby-family.ipynb b/docs/examples/tabby-family.ipynb
diff --git a/docs/exogenous-variables.md b/docs/exogenous-variables.md
@@ -41,6 +41,7 @@ FoundationForecast uses **`supports_native_futr_exog()`** on the forecaster inst
 | **Moirai** | any | No | Use `exog_strategy=False` in multi-model runs |
 | **PatchTST-FM** | any | No | Use `exog_strategy=False` in multi-model runs |
 | **Sundial** | any | No | Use `exog_strategy=False` in multi-model runs |
+| **Tabby** | any | No | Use `exog_strategy=False` in multi-model runs |
 | **TabPFN** | any | No | Use `exog_strategy=False` in multi-model runs |
 | **T0** | `theforecastingcompany/t0-alpha`, `theforecastingcompany/t0-beta`, `theforecastingcompany/t0-gamma` | Yes | `future_covariates` in `tfc-t0` |
 | **Tafsut** | any | No | Use `exog_strategy=False` in multi-model runs |

diff --git a/docs/forecasting-parameters.md b/docs/forecasting-parameters.md
@@ -95,7 +95,7 @@ request the median.
 
 ### Interpolation on fixed-knot models
 
-Some models (TiRex, TimesFM, TabPFN, FlowState, Tafsut, Toto 2.0, …) predict a
+Some models (TiRex, TimesFM, TabPFN, Tabby, FlowState, Tafsut, Toto 2.0, …) predict a
 fixed set of native quantile **knots** internally. When you request levels or
 quantiles that do not exactly match those knots, the library linearly
 interpolates between adjacent knots.

diff --git a/docs/getting-started/installation.md b/docs/getting-started/installation.md
@@ -32,7 +32,7 @@ Some models are gated by Python version:
 
 | Model | Python requirement |
 |-------|-------------------|
-| Chronos, Moirai, TimesFM, Toto, TimeGPT, Sundial, Tafsut | 3.10+ |
+| Chronos, Moirai, TimesFM, Toto, TimeGPT, Sundial, Tafsut, Tabby | 3.10+ |
 | TiRex / TiRex-2 | 3.11+ |
 | T0, FlowState, PatchTST-FM | 3.11 – 3.13 |
 | TabPFN | 3.10 – 3.12 |

diff --git a/docs/getting-started/introduction.md b/docs/getting-started/introduction.md
@@ -5,7 +5,7 @@
 ## What you can do
 
 - Run multiple pretrained foundation models with one interface via [`FoundationForecast`](../api/forecaster.md).
-- Compare Chronos, Moirai, TimesFM, Toto, TiRex, TimeGPT, FlowState, Tafsut, and more side by side.
+- Compare Chronos, Moirai, TimesFM, Toto, TiRex, TimeGPT, FlowState, Tafsut, Tabby, and more side by side.
 - Finetune supported models (Chronos 2, TimeGPT) on your own data.
 - Detect anomalies using cross-validated z-score tests on any forecaster.
 

diff --git a/docs/model-hub.md b/docs/model-hub.md
@@ -42,6 +42,7 @@ Below is the list of available foundation models. Click a model name for API det
 - [PatchTST-FM](api/models/foundation/models.md#foundationforecast.models.patchtst_fm.PatchTSTFM) ([arXiv:2602.06909](https://arxiv.org/abs/2602.06909)) — Python 3.11–3.13; [`ibm-research/patchtst-fm-r1`](https://huggingface.co/ibm-research/patchtst-fm-r1), [`ibm-granite/granite-timeseries-patchtst-fm-r1`](https://huggingface.co/ibm-granite/granite-timeseries-patchtst-fm-r1) (CC-BY-NC-SA-4.0), and [`ibm-granite/granite-timeseries-patchtst-fm-r2`](https://huggingface.co/ibm-granite/granite-timeseries-patchtst-fm-r2) (Apache-2.0 / OpenMDW 1.0; requires `granite-tsfm>=0.3.9`)
 - [Sundial](api/models/foundation/models.md#foundationforecast.models.sundial.Sundial) ([arXiv:2502.00816](https://arxiv.org/pdf/2502.00816))
 - [T0](api/models/foundation/models.md#foundationforecast.models.t0.T0) ([t0-alpha](https://huggingface.co/theforecastingcompany/t0-alpha), [t0-beta](https://huggingface.co/theforecastingcompany/t0-beta), [t0-gamma](https://huggingface.co/theforecastingcompany/t0-gamma); requires `tfc-t0[torch]>=0.6.0`) — Python 3.11–3.13
+- [Tabby](api/models/foundation/models.md#foundationforecast.models.tabby.Tabby) ([arXiv:2609.13956](https://arxiv.org/abs/2609.13956), [`paris-noah/Tabby`](https://huggingface.co/paris-noah/Tabby)) — 99 native quantiles (0.01–0.99); `trust_remote_code`; [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/)
 - [TabPFN](api/models/foundation/models.md#foundationforecast.models.tabpfn.TabPFN) ([arXiv:2501.02945](https://arxiv.org/abs/2501.02945)) — Python 3.10–3.12; TabPFN-2 (default) and TabPFN-3 via `model_path`; TabPFN-3 is LOCAL-only; weights use the [TabPFN NC license](https://ux.priorlabs.ai) (`TABPFN_TOKEN`)
 - [Tafsut](api/models/foundation/models.md#foundationforecast.models.tafsut.Tafsut) ([GitHub](https://github.com/Tafsut-FM/tafsut))
 - [TiRex / TiRex-2](api/models/foundation/models.md#foundationforecast.models.tirex.TiRex) ([arXiv:2505.23719](https://arxiv.org/abs/2505.23719), [arXiv:2607.01204](https://arxiv.org/abs/2607.01204)) — Python 3.11+

diff --git a/experiments/gift-eval/configs/ci_subset.yaml b/experiments/gift-eval/configs/ci_subset.yaml
@@ -50,3 +50,6 @@ jobs:
   - model_key: h2oai--timeh2o-v1
     dataset_name: m4_weekly
     term: short
+  - model_key: paris-noah--Tabby
+    dataset_name: m4_weekly
+    term: short
diff --git a/experiments/gift-eval/configs/models.yaml b/experiments/gift-eval/configs/models.yaml
@@ -350,6 +350,16 @@ models:
       clip_nonnegative: true
       snap_integer: true
 
+  paris-noah--Tabby:
+    class: foundationforecast.models.tabby.Tabby
+    reference_slug: Tabby
+    kwargs:
+      repo_id: paris-noah/Tabby
+      alias: Tabby
+      context_length: 8096
+      batch_size: 64
+      precision: bf16
+
   thuml--sundial-base-128m:
     class: foundationforecast.models.sundial.Sundial
     reference_slug: sundial_base_128m

diff --git a/experiments/gift-eval/tests/test_models_config.py b/experiments/gift-eval/tests/test_models_config.py
@@ -67,3 +67,14 @@ def test_model_python_defaults_unless_overridden():
 
     assert model_python("h2oai--timeh2o-v1", default="3.11") == "3.12"
     assert model_python("mistralai--Timestral-209M", default="3.11") == "3.11"
+
+
+def test_tabby_registered_with_leaderboard_settings():
+    models = load_models_config()
+    entry = models["paris-noah--Tabby"]
+    assert entry["class"] == "foundationforecast.models.tabby.Tabby"
+    assert entry["reference_slug"] == "Tabby"
+    kwargs = entry["kwargs"]
+    assert kwargs["repo_id"] == "paris-noah/Tabby"
+    assert kwargs["context_length"] == 8096
+    assert kwargs["precision"] == "bf16"
diff --git a/foundationforecast/__init__.py b/foundationforecast/__init__.py
@@ -6,6 +6,7 @@
     Chronos,
     ChronosFinetuningConfig,
     Moirai,
+    Tabby,
     TimeGPT,
     TimeGPTFinetuningConfig,
     TimesFM,
@@ -19,6 +20,7 @@
     "Chronos",
     "ChronosFinetuningConfig",
     "Moirai",
+    "Tabby",
     "TimeGPT",
     "TimeGPTFinetuningConfig",
     "TimesFM",

diff --git a/foundationforecast/models/__init__.py b/foundationforecast/models/__init__.py
@@ -2,6 +2,7 @@
 
 from .chronos import Chronos, ChronosFinetuningConfig
 from .moirai import Moirai
+from .tabby import Tabby
 from .tafsut import Tafsut
 from .timegpt import TimeGPT, TimeGPTFinetuningConfig
 from .timesfm import TimesFM
@@ -12,6 +13,7 @@
     "Chronos",
     "ChronosFinetuningConfig",
     "Moirai",
+    "Tabby",
     "Tafsut",
     "TimeGPT",
     "TimeGPTFinetuningConfig",