TimesFM-3

TimesFM-3

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About

Llama 4 Behemoth is Meta's most powerful AI model to date, featuring a massive 288 billion active parameters. It excels in multimodal tasks, outperforming previous models like GPT-4.5 and Gemini 2.0 Pro across multiple STEM-focused benchmarks such as MATH-500 and GPQA Diamond. As the teacher model for the Llama 4 series, Behemoth sets the foundation for models like Llama 4 Maverick and Llama 4 Scout. While still in training, Llama 4 Behemoth demonstrates unmatched intelligence, pushing the boundaries of AI in fields like math, multilinguality, and image understanding.

About

TimesFM-3 is a state-of-the-art time series foundation model designed for highly accurate multivariate forecasting in a single forward pass. The 330 million parameter model is pre-trained on a real-world and synthetic time-series corpus comprising more than 1 trillion time points, building on the efficiency and zero-shot generalization of earlier TimesFM models. It can jointly predict multiple coevolving time series and capture dependencies that improve accuracy without task-specific fine-tuning. The model supports multiple targets with point and quantile forecasts, past covariates that are known only historically, and past-future dynamic covariates such as planned promotions, holidays, or weather forecasts. TimesFM-3 uses a decoder-only transformer architecture, processes contiguous data in patches of 32 time steps, and applies alternating causal temporal attention and full variate attention to combine patterns across time and related series.

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

Llama 4 Behemoth is ideal for AI researchers, developers, and enterprises looking for the most powerful and intelligent AI model for high-performance, multimodal applications in STEM fields, image processing, and complex reasoning

Audience

Data scientists, researchers, and developers wanting to forecast multiple related time series and incorporate historical and known future signals

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
Open source
Free Version
Free Trial

Pricing

No information available.
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
ai.meta.com

Company Information

Google
Founded: 1998
United States
research.google/blog/timesfm-3-a-zero-shot-foundation-model-for-multivariate-forecasting/

Alternatives

Alternatives

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CodeQwen

Alibaba
Claude Opus 4.1

Claude Opus 4.1

Anthropic
Kimi K2

Kimi K2

Moonshot AI
Qwen-7B

Qwen-7B

Alibaba

Categories

Categories

Integrations

C
CSS
Clojure
Elixir
Go
Groq
Java
JavaScript
Julia
Kotlin
LaunchLemonade
Llama 4 Scout
Meta AI
OpenRouter
PHP
Python
Rust
SQL
Snowflake
Visual Basic

Integrations

C
CSS
Clojure
Elixir
Go
Groq
Java
JavaScript
Julia
Kotlin
LaunchLemonade
Llama 4 Scout
Meta AI
OpenRouter
PHP
Python
Rust
SQL
Snowflake
Visual Basic
Claim Llama 4 Behemoth and update features and information
Claim Llama 4 Behemoth and update features and information
Claim TimesFM-3 and update features and information
Claim TimesFM-3 and update features and information