Q

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QwQ-32B, from Alibaba Qwen team, is a new open-source 32B LLM achieving DeepSeek-R1 level reasoning via scaled Reinforcement Learning. It features a "thinking mode" for complex tasks and is part of the Qwen series, focusing on reasoning capabilities. Compared to instruction-tuned models, QwQ excels in downstream tasks, especially hard problems. It's built upon Qwen2.5 and requires the latest Hugging Face transformers library.
Open-source 32B LLM with enhanced reasoning capabilities.
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huggingface.co/Qwen/QwQ-32B
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Open-source 32B LLM with enhanced reasoning capabilities.

QwQ-32B, from Alibaba Qwen team, is a new open-source 32B LLM achieving DeepSeek-R1 level reasoning via scaled Reinforcement Learning. It features a "thinking mode" for complex tasks and is part of the Qwen series, focusing on reasoning capabilities. Compared to instruction-tuned models, QwQ excels in downstream tasks, especially hard problems. It's built upon Qwen2.5 and requires the latest Hugging Face transformers library.

Core Features
Enhanced reasoning capabilities
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Thinking mode for complex tasks
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Based on Qwen2.5 architecture
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Large context length (131,072 tokens)
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Popular Use Cases
  • Solving complex reasoning problems
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  • Text generation with a focus on logical thinking
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  • Chat applications requiring advanced understanding
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Feature Comparison
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Comparison details are provided for informational purposes and should be verified with the official website.
How to use
  • To use QwQ-32B
  • load the model and tokenizer using the transformers library. Utilize the apply_chat_template function to format prompts. Ensure you have the latest version of transformers installed. Follow the usage guidelines for optimal performance
  • including enforcing thoughtful output with "<think>\n" and adjusting sampling parameters.
Pricing
Q uses a free pricing model. Pricing and features may change over time.
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