Better than 90% of all models
Context
N/A
Input $/1M
TBD
Output $/1M
TBD
Type
text-generation
License
Open Source
Benchmarks
25 tested
Data updated today
About
Qwen text generation model. 393K downloads on HuggingFace.
Tested on 25 benchmarks with 50.5% average. Top scores: JSQuAD (89.6%), JCommonsenseQA (89.1%), JNLI (81.3%).
Capabilities
reasoning
7.4
#150 globally
math
27.6
#140 globally
knowledge
19.0
#199 globally
language
57.6
#94 globally
general
37.8
#20 globally
Benchmark Scores
Compare AllTested on 25 benchmarks · Ranked across 5 categories
Score Distribution (all 231 models)
0255075100
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reasoningCompare reasoning →
MUSR
7.4—HuggingFace MuSR (Multi-Step Reasoning). Tests multi-hop reasoning requiring chaining multiple facts together.
mathCompare math →
MATH Level 5
27.6—HuggingFace evaluation of MATH Level 5 problems. Competition math requiring advanced reasoning and proof construction.
knowledgeCompare knowledge →
MMLU-PRO
31.6—HuggingFace MMLU-Pro. Harder version of MMLU with 10 answer choices instead of 4 and more challenging questions.
GPQA
6.4—HuggingFace evaluation of GPQA (Graduate-Level Google-Proof Q&A). PhD-level science questions that cannot be easily searched.
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
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BenchGecko API
qwen-qwen2-7b-instruct
Specifications
- Typetext-generation
- ContextN/A
- ReleasedJun 2024
- LicenseOpen Source
- StatusActive
Available On
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Frequently Asked Questions
Qwen2 7B Instruct is an open-source text-generation AI model by Alibaba, released in June 2024. It has an average benchmark score of 77.7.