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Qwen/QwQ-32B-Preview - AI Language Models Tool

Overview

Qwen/QwQ-32B-Preview is an experimental preview large language model from the Qwen Team with 32.5B parameters. It supports extended contexts up to 32,768 tokens and is built with transformer components including RoPE, SwiGLU, and RMSNorm.

Key Features

  • 32.5 billion parameters
  • Extended context up to 32,768 tokens
  • Transformer architecture with RoPE positional encoding
  • SwiGLU activation and RMSNorm normalization
  • Designed for improved reasoning and text generation
  • Demonstrates strong performance on math and coding tasks
  • Released as an experimental preview for research use

Ideal Use Cases

  • Research on long-context language understanding
  • Benchmarking model reasoning and generation
  • Prototyping code generation and coding assistants
  • Evaluating math problem-solving capabilities
  • Exploring transformer architecture behaviors

Getting Started

  • Open the Hugging Face model page for Qwen/QwQ-32B-Preview
  • Read the model card, README, and usage notes
  • Confirm license and usage restrictions before applying
  • Test on small inputs to verify behavior
  • Evaluate math and coding tasks relevant to research
  • Monitor outputs for consistency and common-sense errors
  • Report issues or feedback via the model page

Pricing

Pricing not disclosed in the provided model information; check the model page for any licensing or cost details.

Limitations

  • Experimental preview release — not guaranteed production quality
  • Known limitations in language consistency
  • Known limitations in common-sense reasoning

Key Information

  • Category: Language Models
  • Type: AI Language Models Tool
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