TabFM

TabFM

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About

The open source AI model you can fine-tune, distill and deploy anywhere. Our latest instruction-tuned model is available in 8B, 70B and 405B versions. Using our open ecosystem, build faster with a selection of differentiated product offerings to support your use cases. Choose from real-time inference or batch inference services. Download model weights to further optimize cost per token. Adapt for your application, improve with synthetic data and deploy on-prem or in the cloud. Use Llama system components and extend the model using zero shot tool use and RAG to build agentic behaviors. Leverage 405B high quality data to improve specialized models for specific use cases.

About

TabFM is a zero-shot foundation model for tabular data, designed to simplify classification and regression workflows that traditionally require manual model training, hyperparameter tuning, and domain-specific feature engineering. Built specifically for tables, TabFM reframes tabular prediction as an in-context learning problem: instead of fitting a new supervised model to each dataset, it takes historical training examples and target testing rows together as one unified prompt, then interprets relationships between columns and rows at inference time. Because tables are two-dimensional and orderless, TabFM uses a hybrid architecture that combines alternating row and column attention, row compression, and a dedicated Transformer for in-context learning over compressed row embeddings. This design lets the model capture complex feature interactions and dependencies while keeping prediction computationally efficient for larger datasets.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone that's interested in one of the most powerful open source large language models

Audience

Data scientists and analytics teams that need accurate tabular classification and regression without repetitive training, tuning, and feature-engineering work

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
llama.meta.com

Company Information

Google
Founded: 1998
United States
research.google/blog/introducing-tabfm-a-zero-shot-foundation-model-for-tabular-data/

Alternatives

Alternatives

Evo 2

Evo 2

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Athene-V2

Athene-V2

Nexusflow
MLBox

MLBox

Axel ARONIO DE ROMBLAY

Categories

Categories

Integrations

AI/ML API
Agenta
Amazon Bedrock
AnythingLLM
BaseRT
Baseten
Bolna
BrandRank.AI
Cyte
Deasie
Double
Entry Point AI
IONOS Cloud AI Model Hub
Naptha
Not Diamond
OmniGPT
Oxlo.ai
PostgresML
VESSL AI
ZenML

Integrations

AI/ML API
Agenta
Amazon Bedrock
AnythingLLM
BaseRT
Baseten
Bolna
BrandRank.AI
Cyte
Deasie
Double
Entry Point AI
IONOS Cloud AI Model Hub
Naptha
Not Diamond
OmniGPT
Oxlo.ai
PostgresML
VESSL AI
ZenML
Claim Llama 3.1 and update features and information
Claim Llama 3.1 and update features and information
Claim TabFM and update features and information
Claim TabFM and update features and information