What is QwQ-32B?
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Answers ( 5 )
QwQ-32B is an open-source inference model developed by the Ali Qwen team, featuring approximately 3.25 billion parameters. It is designed to enhance reasoning capabilities, particularly in mathematical and coding tasks, and performs comparably to larger models like DeepSeek-R1. The model can run on consumer-grade GPUs and is available under the Apache 2.0 license.
QwQ-32B is a 32.5 billion parameter causal language model developed by Qwen. It is designed for reasoning tasks, excelling in text generation, question answering, and complex problem-solving. The model supports a context length of 131,072 tokens and uses advanced architectural components like RoPE, SwiGLU, and RMSNorm.
QwQ-32B is an open-source reasoning model developed by Alibaba's Qwen team, with approximately 3.2 billion parameters. It is designed to handle complex reasoning tasks, particularly in mathematics and coding, and has demonstrated performance comparable to models with larger parameter counts, such as DeepSeek R1 (6.7 billion parameters). The model is freely available for academic and industrial use on the Hugging Face platform.
QwQ-32B is a 32.5 billion parameter open-source causal language model developed by Alibaba. It is designed for complex reasoning tasks and excels in mathematics and coding. The model leverages reinforcement learning to enhance self-checking and reasoning capabilities, making it suitable for a wide range of applications.
QwQ-32B is a 32.5B-parameter reasoning model developed by the Tongyi Qianwen team. It is based on the Transformer architecture and specializes in logical reasoning, mathematical calculations, and code generation. The model outperforms o1-mini on the GPQA dataset and supports extended context lengths up to 131,072 tokens when using YaRN for prompts exceeding 8,192 tokens.