Qwen1.5-32B

A series of Transformer-based pre-trained language models

CommonProductProductivityPre-trained modelTransformer

Qwen1.5 is a decoder language model series based on the Transformer architecture, including models of various sizes. It features SwiGLU activation, attention QKV bias, and group query attention. It supports multiple natural languages and code. Fine-tuning is recommended, such as SFT, RLHF, etc. Pricing is free.

Supports 8 model sizes
from 0.5B to 72B
Significant performance improvement in Chat models
Multilingual support
Stable support for 32K context length
No need to trust remote code

Suitable for natural language processing
text generation
chatbots
and other fields.

1. Researchers use Qwen1.5 for text generation in the field of natural language processing.
2. Development teams use Qwen1.5 for model training in chatbot systems.
3. Students use Qwen1.5 for multilingual processing experiments in academic research.

Visit

Qwen1.5-32B Visit Over Time

Monthly Visits

17104189

Bounce Rate

44.67%

Page per Visit

5.5

Visit Duration

00:05:49

Qwen1.5-32B Visit Trend

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