Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LM-Kit.NET Reviews & Ratings
    23 Ratings
    Company Website
  • Vertex AI Reviews & Ratings
    783 Ratings
    Company Website
  • OORT DataHub Reviews & Ratings
    13 Ratings
    Company Website
  • Oxylabs Reviews & Ratings
    1,156 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    11 Ratings
    Company Website
  • RaimaDB Reviews & Ratings
    9 Ratings
    Company Website
  • Thinkific Reviews & Ratings
    583 Ratings
    Company Website
  • DNSimple Reviews & Ratings
    72 Ratings
    Company Website
  • dbt Reviews & Ratings
    219 Ratings
    Company Website
  • PackageX OCR Scanning Reviews & Ratings
    46 Ratings
    Company Website

What is Qwen-7B?

Qwen-7B represents the seventh iteration in Alibaba Cloud's Qwen language model lineup, also referred to as Tongyi Qianwen, featuring 7 billion parameters. This advanced language model employs a Transformer architecture and has undergone pretraining on a vast array of data, including web content, literature, programming code, and more. In addition, we have launched Qwen-7B-Chat, an AI assistant that enhances the pretrained Qwen-7B model by integrating sophisticated alignment techniques. The Qwen-7B series includes several remarkable attributes: Its training was conducted on a premium dataset encompassing over 2.2 trillion tokens collected from a custom assembly of high-quality texts and codes across diverse fields, covering both general and specialized areas of knowledge. Moreover, the model excels in performance, outshining similarly-sized competitors on various benchmark datasets that evaluate skills in natural language comprehension, mathematical reasoning, and programming challenges. This establishes Qwen-7B as a prominent contender in the AI language model landscape. In summary, its intricate training regimen and solid architecture contribute significantly to its outstanding adaptability and efficiency in a wide range of applications.

What is QwQ-Max-Preview?

QwQ-Max-Preview represents an advanced AI model built on the Qwen2.5-Max architecture, designed to demonstrate exceptional abilities in areas such as intricate reasoning, mathematical challenges, programming tasks, and agent-based activities. This preview highlights its improved functionalities across various general-domain applications, showcasing a strong capability to handle complex workflows effectively. Set to be launched as open-source software under the Apache 2.0 license, QwQ-Max-Preview is expected to feature substantial enhancements and refinements in its final version. In addition to its technical advancements, the model plays a vital role in fostering a more inclusive AI landscape, which is further supported by the upcoming release of the Qwen Chat application and streamlined model options like QwQ-32B, aimed at developers seeking local deployment alternatives. This initiative not only enhances accessibility for a broader audience but also stimulates creativity and progress within the AI community, ensuring that diverse voices can contribute to the field's evolution. The commitment to open-source principles is likely to inspire further exploration and collaboration among developers.

Media

Media

Integrations Supported

Qwen Chat
Sesterce
Alibaba Cloud
C
Clojure
Elixir
F#
GaiaNet
Go
HTML
JavaScript
Kotlin
ModelScope
PHP
Python
R
Ruby
Rust
TypeScript
Visual Basic

Integrations Supported

Qwen Chat
Sesterce
Alibaba Cloud
C
Clojure
Elixir
F#
GaiaNet
Go
HTML
JavaScript
Kotlin
ModelScope
PHP
Python
R
Ruby
Rust
TypeScript
Visual Basic

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

github.com/QwenLM/Qwen-7B

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwenlm.github.io/blog/qwq-max-preview/

Categories and Features

Categories and Features

Popular Alternatives

Athene-V2 Reviews & Ratings

Athene-V2

Nexusflow

Popular Alternatives

DeepSeek R2 Reviews & Ratings

DeepSeek R2

DeepSeek
ChatGLM Reviews & Ratings

ChatGLM

Zhipu AI
ERNIE 4.5 Reviews & Ratings

ERNIE 4.5

Baidu
Mistral 7B Reviews & Ratings

Mistral 7B

Mistral AI
ERNIE X1 Reviews & Ratings

ERNIE X1

Baidu
CodeQwen Reviews & Ratings

CodeQwen

Alibaba
QwQ-32B Reviews & Ratings

QwQ-32B

Alibaba