Qwen2.5 14B Instruct
Zero-eval
#2MMLU-STEM
#2MBPP+
by Alibaba Cloud / Qwen Team
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About
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
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Timeline
AnnouncedSep 19, 2024
ReleasedSep 19, 2024
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Specifications
Training Tokens18.0T
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License & Family
License
Apache 2.0
Performance Overview
Performance metrics and category breakdown
Overall Performance
16 benchmarks
Average Score
70.0%
Best Score
94.8%
High Performers (80%+)
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All Benchmark Results for Qwen2.5 14B Instruct
Complete list of benchmark scores with detailed information
| GSM8k | text | 0.95 | 94.8% | Self-reported | |
| HumanEval | text | 0.83 | 83.5% | Self-reported | |
| MBPP | text | 0.82 | 82.0% | Self-reported | |
| MMLU-Redux | text | 0.80 | 80.0% | Self-reported | |
| MATH | text | 0.80 | 80.0% | Self-reported | |
| MMLU | text | 0.80 | 79.7% | Self-reported | |
| BBH | text | 0.78 | 78.2% | Self-reported | |
| MMLU-STEM | text | 0.76 | 76.4% | Self-reported | |
| MultiPL-E | text | 0.73 | 72.8% | Self-reported | |
| ARC-C | text | 0.67 | 67.3% | Self-reported |
Showing 1 to 10 of 16 benchmarks
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