
Qwen2.5-Coder 7B Instruct
Zero-eval
#1MMLU-Base
#1CRUXEval-Input-CoT
#1CRUXEval-Output-CoT
+3 more
by Alibaba Cloud / Qwen Team
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About
Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). 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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Timeline
AnnouncedSep 19, 2024
ReleasedSep 19, 2024
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Specifications
Training Tokens5.5T
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License & Family
License
Apache 2.0
Base ModelQwen2.5 7B Instruct
Performance Overview
Performance metrics and category breakdown
Overall Performance
19 benchmarks
Average Score
58.0%
Best Score
88.4%
High Performers (80%+)
3+
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All Benchmark Results for Qwen2.5-Coder 7B Instruct
Complete list of benchmark scores with detailed information
HumanEval | text | 0.88 | 88.4% | Self-reported | |
GSM8k | text | 0.84 | 83.9% | Self-reported | |
MBPP | text | 0.83 | 83.5% | Self-reported | |
HellaSwag | text | 0.77 | 76.8% | Self-reported | |
Winogrande | text | 0.73 | 72.9% | Self-reported | |
MMLU-Base | text | 0.68 | 68.0% | Self-reported | |
MMLU | text | 0.68 | 67.6% | Self-reported | |
MMLU-Redux | text | 0.67 | 66.6% | Self-reported | |
ARC-C | text | 0.61 | 60.9% | Self-reported | |
CRUXEval-Input-CoT | text | 0.56 | 56.5% | Self-reported |
Showing 1 to 10 of 19 benchmarks