Falcon-40B

Falcon-40B

Technology Innovation Institute (TII)
TimesFM-3

TimesFM-3

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About

Falcon-40B is a 40B parameters causal decoder-only model built by TII and trained on 1,000B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license. Why use Falcon-40B? It is the best open-source model currently available. Falcon-40B outperforms LLaMA, StableLM, RedPajama, MPT, etc. See the OpenLLM Leaderboard. It features an architecture optimized for inference, with FlashAttention and multiquery. It is made available under a permissive Apache 2.0 license allowing for commercial use, without any royalties or restrictions. ⚠️ This is a raw, pretrained model, which should be further finetuned for most usecases. If you are looking for a version better suited to taking generic instructions in a chat format, we recommend taking a look at Falcon-40B-Instruct.

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

Developers interested in a powerful open source LLM

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

Technology Innovation Institute (TII)
Founded: 2018
United Arab Emirates
www.tii.ae/

Company Information

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

Alternatives

Alpaca

Alpaca

Stanford Center for Research on Foundation Models (CRFM)

Alternatives

Falcon-7B

Falcon-7B

Technology Innovation Institute (TII)
CodeQwen

CodeQwen

Alibaba
Llama 2

Llama 2

Meta
Kimi K2

Kimi K2

Moonshot AI
Falcon 2

Falcon 2

Technology Innovation Institute (TII)
Qwen-7B

Qwen-7B

Alibaba
Falcon Mamba 7B

Falcon Mamba 7B

Technology Innovation Institute (TII)

Categories

Categories

Integrations

C
C#
C++
CSS
Clojure
Elixir
F#
HTML
Java
JavaScript
Kotlin
Python
R
Ruby
Rust
SQL
Scala
Taylor AI
TypeScript
Visual Basic

Integrations

C
C#
C++
CSS
Clojure
Elixir
F#
HTML
Java
JavaScript
Kotlin
Python
R
Ruby
Rust
SQL
Scala
Taylor AI
TypeScript
Visual Basic
Claim Falcon-40B and update features and information
Claim Falcon-40B and update features and information
Claim TimesFM-3 and update features and information
Claim TimesFM-3 and update features and information