---
title: PredictLM Playground
emoji: 🟢
colorFrom: green
colorTo: indigo
sdk: gradio
sdk_version: "5.4.0"
python_version: "3.11"
app_file: app.py
pinned: true
license: apache-2.0
models:
  - zerooneresearch/predictlm-mini-13m
short_description: Try the 13M tabular foundation model on your own CSV.
---

# PredictLM Playground

Upload a CSV, pick a target column, get predictions from **predictlm-mini-13m** — a 13M-parameter open-weight tabular foundation model (Apache-2.0).

This Space runs **single-model mode** (Mini only, no test-time training) for snappy responses. The full Duo + TTT recipe — **0.751 classification accuracy / 0.609 regression R²** on a locked 25-dataset OpenML benchmark — runs in one Python call:

```python
from predictlm import PredictLM
model = PredictLM.from_pretrained("zerooneresearch/predictlm-mini-13m")
preds = model.fit(X_train, y_train).predict(X_test)
```

- **Model card**: [zerooneresearch/predictlm-mini-13m](https://huggingface.co/zerooneresearch/predictlm-mini-13m)
- **PyPI**: [`pip install predictlm`](https://pypi.org/project/predictlm/)
- **Source (MCP server)**: [github.com/matej-01RAI/predictlm-mcp](https://github.com/matej-01RAI/predictlm-mcp)