Qwen1.5-110B
Qwen1.5 series is the first open source model with 100 billion parameters, multi-language support, and efficient Transformer decoder architecture.
Product Details
Qwen1.5-110B is the largest model in the Qwen1.5 series, with 110 billion parameters, supports multiple languages, uses an efficient Transformer decoder architecture, and includes grouped query attention (GQA), making it more efficient during model inference. It is comparable to Meta-Llama3-70B in basic capability evaluations and performs well in Chat evaluations, including MT-Bench and AlpacaEval 2.0. The release of this model demonstrates the huge potential in model scale expansion and indicates that greater performance improvements can be achieved in the future by expanding the data and model scale.
Main Features
How to Use
Target Users
Ideal for developers and researchers who need to work with long texts and multiple languages
Suitable for business application scenarios that require efficient model inference
Provides a powerful research and experiment platform for AI community members who pursue the latest technological advances.
The multilingual nature of the model makes it ideal for international application development
Examples
For developing multilingual chatbots
As a basic model, it supports the development of text generation applications in various languages.
In education, used to assist language learning and text analysis
Quick Access
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