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What is Qwen?
The Qwen LLM, developed by Alibaba Cloud's Damo Academy, is an innovative suite of large language models that utilize a vast array of text and code to generate text that closely mimics human language, assist in language translation, create diverse types of creative content, and deliver informative responses to a variety of questions.
Notable features of the Qwen LLMs are:
A diverse range of model sizes: The Qwen series includes models with parameter counts ranging from 1.8 billion to 72 billion, which allows for a variety of performance levels and applications to be addressed.
Open source options: Some versions of Qwen are available as open source, which provides users the opportunity to access and modify the source code to suit their needs.
Multilingual proficiency: Qwen models are capable of understanding and translating multiple languages, such as English, Chinese, and French.
Wide-ranging functionalities: Beyond generating text and translating languages, Qwen models are adept at answering questions, summarizing information, and even generating programming code, making them versatile tools for many different scenarios.
In summary, the Qwen LLM family is distinguished by its broad capabilities and adaptability, making it an invaluable resource for users with varying needs. As technology continues to advance, the potential applications for Qwen LLMs are likely to expand even further, enhancing their utility in numerous fields.
What is Mixtral 8x22B?
The Mixtral 8x22B is our latest open model, setting a new standard in performance and efficiency within the realm of AI. By utilizing a sparse Mixture-of-Experts (SMoE) architecture, it activates only 39 billion parameters out of a total of 141 billion, leading to remarkable cost efficiency relative to its size. Moreover, it exhibits proficiency in several languages, such as English, French, Italian, German, and Spanish, alongside strong capabilities in mathematics and programming. Its native function calling feature, paired with the constrained output mode used on la Plateforme, greatly aids in application development and the large-scale modernization of technology infrastructures. The model boasts a context window of up to 64,000 tokens, allowing for precise information extraction from extensive documents. We are committed to designing models that optimize cost efficiency, thus providing exceptional performance-to-cost ratios compared to alternatives available in the market. As a continuation of our open model lineage, the Mixtral 8x22B's sparse activation patterns enhance its speed, making it faster than any similarly sized dense 70 billion model available. Additionally, its pioneering design and performance metrics make it an outstanding option for developers in search of high-performance AI solutions, further solidifying its position as a vital asset in the fast-evolving tech landscape.
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Integrations Supported
AiAssistWorks
LLaMA-Factory
LM-Kit.NET
Symflower
WebLLM
302.AI
AlphaCorp
Amazon Bedrock
Arize Phoenix
BrowserCopilot AI
Integrations Supported
AiAssistWorks
LLaMA-Factory
LM-Kit.NET
Symflower
WebLLM
302.AI
AlphaCorp
Amazon Bedrock
Arize Phoenix
BrowserCopilot AI
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
Company Facts
Organization Name
Mistral AI
Date Founded
2023
Company Location
France
Company Website
mistral.ai/news/mixtral-8x22b/