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Nori

Synthefy

**Nori** is a tabular foundation model for **regression** via in-context learning (ICL). Given a few labeled rows as context, it predicts on new query rows in a **single forward pass**, with no task-specific training or fine-tuning. The model is trained **entirely on synthetic data**. - **Documentation:** https://docs.synthefy.com/nori/ - **Repository:** https://github.com/Synthefy/synthefy-nori - **Library:** `pip install synthefy-nori` - **Checkpoint:** `nori.pt` (this repo) - **Parameters:** ~5.9M - **License:** Apache-2.0 Mean and median R² of the base model across 96 regression tasks from three public benchmark suites (single H200, up to 50K context rows per dataset):

Tabular & time series
Input Not verified→ Output Not verified
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Nori-100M

Synthefy

**Nori-100M** is the ~98.3M-parameter variant of Nori, a tabular foundation model for **regression** via in-context learning (ICL). Given a few labeled rows as context, it predicts on new query rows in a **single forward pass**, with no task-specific training or fine-tuning. The model is trained **entirely on synthetic data**. - **Documentation:** https://docs.synthefy.com/nori/ - **Repository:** https://github.com/Synthefy/synthefy-nori - **Library:** `pip install synthefy-nori` - **Checkpoint:** `nori.pt` (this repo) - **Parameters:** ~98.3M (98,304,698) - **Architecture:** 42 layers, embed_dim 352, hid_dim 1056, 8 heads - **License:** Apache-2.0 It uses a GPU when one is available and falls back to CPU. A one-shot helper skips the object entirely:

Tabular & time series
Input Not verified→ Output Not verified
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Nori-30M

Synthefy

**Nori-30M** is the ~29.2M-parameter variant of Nori, a tabular foundation model for **regression** via in-context learning (ICL). Given a few labeled rows as context, it predicts on new query rows in a **single forward pass**, with no task-specific training or fine-tuning. The model is trained **entirely on synthetic data**. - **Documentation:** https://docs.synthefy.com/nori/ - **Repository:** https://github.com/Synthefy/synthefy-nori - **Library:** `pip install synthefy-nori` - **Checkpoint:** `nori.pt` (this repo) - **Parameters:** ~29.2M - **License:** Apache-2.0 Mean and median R² across 96 regression tasks from three public benchmark suites, on the same protocol as the base Nori:

Tabular & time series
Input Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
View details ↗
Source / docs ↗
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