TabFM 1.0.0
TabFM 1.0.0 is a released general LLM work model with open-weight; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating general LLM work
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- TabFM
- Released
- 2026-06-30
- Specialization
- tabular
- Openness
- Open weights
- License
- NoncommercialCommercial use: non-commercial
- Training
- Pretrained
No tracked provider token pricing is available yet.
About
TabFM 1.0.0 is the public pretrained TabFM checkpoint release. Google Research provides PyTorch weights on Hugging Face and a scikit-learn-compatible GitHub library with JAX and PyTorch backend examples for zero-shot tabular classification and regression.
TabFM 1.0.0 is an open-weight model in the TabFM family. No headline benchmark score is tracked for TabFM 1.0.0 yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
API versions
google/tabfm-1.0.0-pytorchFrequently asked questions
When was TabFM 1.0.0 released?
TabFM 1.0.0 was released on 2026-06-30.
No tracked provider token pricing is available yet.