QwQ-32B
Zero-eval
by Alibaba Cloud / Qwen Team
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About
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
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Timeline
AnnouncedMar 5, 2025
ReleasedMar 5, 2025
Knowledge CutoffNov 28, 2024
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License & Family
License
Apache 2.0
Performance Overview
Performance metrics and category breakdown
Overall Performance
7 benchmarks
Average Score
74.6%
Best Score
90.6%
High Performers (80%+)
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All Benchmark Results for QwQ-32B
Complete list of benchmark scores with detailed information
| MATH-500 | text | 0.91 | 90.6% | Self-reported | |
| IFEval | text | 0.84 | 83.9% | Self-reported | |
| AIME 2024 | text | 0.80 | 79.5% | Self-reported | |
| LiveBench | text | 0.73 | 73.1% | Self-reported | |
| BFCL | text | 0.66 | 66.4% | Self-reported | |
| GPQA | text | 0.65 | 65.2% | Self-reported | |
| LiveCodeBench | text | 0.63 | 63.4% | Self-reported |
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