QwQAI.org

QwQ-32B Reasoning Model

A powerful reasoning model of the Qwen series, capable of thinking and reasoning with significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B achieves competitive performance against state-of-the-art reasoning models.

Key Features:

  • Advanced Architecture with RoPE, SwiGLU, RMSNorm
  • 32.5B Parameters (31.0B Non-Embedding)
  • Long Context Length of 131,072 tokens
  • State-of-the-art reasoning capabilities
QwQ-32B Benchmark

Experience QwQ-32B

Try our model through HuggingFace Spaces or QwenChat - no installation required.

Features

What makes QwQ-32B special

QwQ-32B is a medium-sized reasoning model that combines powerful thinking capabilities with state-of-the-art performance.

Advanced Architecture

Built with transformers featuring RoPE, SwiGLU, RMSNorm, and Attention QKV bias

Sophisticated Structure

64 layers with 40 attention heads for Q and 8 for KV (GQA)

Extended Context Length

Supports full 131,072 tokens context length for comprehensive analysis

Large Parameter Scale

32.5B total parameters with 31.0B non-embedding parameters for deep reasoning

Enhanced Reasoning

Significantly improved performance on downstream tasks and hard problems

Easy Deployment

Supports various deployment options including vLLM for optimal performance

What People Are Saying

Community feedback on QwQ-32B

FAQ

Frequently asked questions

Still have questions? Email us at support@qwqai.org

Blog

Latest Articles

Introducing QwQ-32B

Introducing QwQ-32B

Introducing QwQ-32B, a powerful reasoning model that achieves competitive performance against state-of-the-art models while being ten times smaller.

Ready to try QwQ-32B?

Experience the power of advanced AI reasoning.

Try Demo