Qwen-7B

Qwen-7B

Alibaba
TimesFM-3

TimesFM-3

Google
+
+

Related Products

  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website
  • Planview AdaptiveWork
    714 Ratings
    Visit Website
  • Oxylabs
    1,205 Ratings
    Visit Website
  • optivalue.ai
    4 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • RaimaDB
    12 Ratings
    Visit Website
  • DNSimple
    75 Ratings
    Visit Website
  • dbt
    263 Ratings
    Visit Website
  • PackageX OCR Scanning
    48 Ratings
    Visit Website

About

Qwen-7B is the 7B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-7B is a Transformer-based large language model, which is pretrained on a large volume of data, including web texts, books, codes, etc. Additionally, based on the pretrained Qwen-7B, we release Qwen-7B-Chat, a large-model-based AI assistant, which is trained with alignment techniques. The features of the Qwen-7B series include: Trained with high-quality pretraining data. We have pretrained Qwen-7B on a self-constructed large-scale high-quality dataset of over 2.2 trillion tokens. The dataset includes plain texts and codes, and it covers a wide range of domains, including general domain data and professional domain data. Strong performance. In comparison with the models of the similar model size, we outperform the competitors on a series of benchmark datasets, which evaluates natural language understanding, mathematics, coding, etc. And more.

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

Large language model developers

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

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

Review this Software

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

Alibaba
Founded: 1999
China
github.com/QwenLM/Qwen-7B

Company Information

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

Alternatives

Athene-V2

Athene-V2

Nexusflow

Alternatives

ChatGLM

ChatGLM

Z.ai
CodeQwen

CodeQwen

Alibaba
Mistral 7B

Mistral 7B

Mistral AI
Kimi K2

Kimi K2

Moonshot AI
CodeQwen

CodeQwen

Alibaba
Qwen-7B

Qwen-7B

Alibaba
Qwen2

Qwen2

Alibaba

Categories

Categories

Integrations

AiAssistWorks
Alibaba Cloud
C
C++
CSS
Clojure
F#
GaiaNet
Go
Hugging Face
LM-Kit.NET
ModelScope
PHP
Python
QwenCloud
R
Ruby
SQL
Scala
Sesterce

Integrations

AiAssistWorks
Alibaba Cloud
C
C++
CSS
Clojure
F#
GaiaNet
Go
Hugging Face
LM-Kit.NET
ModelScope
PHP
Python
QwenCloud
R
Ruby
SQL
Scala
Sesterce
Claim Qwen-7B and update features and information
Claim Qwen-7B and update features and information
Claim TimesFM-3 and update features and information
Claim TimesFM-3 and update features and information