QwQ-32B
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Introduction:
Open-source reasoning model for complex tasks with 32B parameters.
Added on:
Mar 25 2025
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QwQ-32B Product Information
What is QwQ-32B?
QwQ-32B, developed by the Alibaba Qwen team, is an open-source 32 billion parameter language model designed for deep reasoning. It utilizes reinforcement learning, making it capable of thoughtful reasoning and enhanced performance in complex tasks compared to conventional models.
How to use QwQ-32B?
To use QwQ-32B, load the model via Hugging Face's transformers library, input your prompt, and generate the response using the model's capabilities.
QwQ-32B's Core Features
Open-source
32 billion parameters
Deep reasoning capabilities
Supports thoughtful output
QwQ-32B's Use Cases
#1
Text generation for complex reasoning tasks
#2
Generating answers to math problems with step-by-step reasoning
FAQ from QwQ-32B
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