Qwen2.5 7B Instruct
Zero-eval
#3AlignBench
by Alibaba Cloud / Qwen Team
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About
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
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Pricing Range
Input (per 1M)$0.30 -$0.30
Output (per 1M)$0.30 -$0.30
Providers1
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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
14 benchmarks
Average Score
65.6%
Best Score
91.6%
High Performers (80%+)
3Performance Metrics
Max Context Window
139.3KAvg Throughput
138.0 tok/sAvg Latency
1ms+
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All Benchmark Results for Qwen2.5 7B Instruct
Complete list of benchmark scores with detailed information
| GSM8k | text | 0.92 | 91.6% | Self-reported | |
| MT-Bench | text | 0.88 | 87.5% | Self-reported | |
| HumanEval | text | 0.85 | 84.8% | Self-reported | |
| MBPP | text | 0.79 | 79.2% | Self-reported | |
| MATH | text | 0.76 | 75.5% | Self-reported | |
| MMLU-Redux | text | 0.75 | 75.4% | Self-reported | |
| AlignBench | text | 0.73 | 73.3% | Self-reported | |
| IFEval | text | 0.71 | 71.2% | Self-reported | |
| MultiPL-E | text | 0.70 | 70.4% | Self-reported | |
| MMLU-Pro | text | 0.56 | 56.3% | Self-reported |
Showing 1 to 10 of 14 benchmarks