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Qwen2 Math 7B Instruct by Qwen

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  667   
  Arxiv:2407.10671   Chat   Conversational   En   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-Math-7B-Instruct 

Qwen2 Math 7B Instruct Benchmarks

LLME Score: 0.23849
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 Math 7B Instruct (Qwen/Qwen2-Math-7B-Instruct)

Qwen2 Math 7B Instruct Parameters and Internals

Model Type 
text-generation, chat
Use Cases 
Areas:
research, academic
Applications:
arithmetic problem solving, mathematical reasoning
Primary Use Cases:
instruction-based chatting, completion, few-shot inference
Additional Notes 
Significantly improves on mathematical problem-solving compared to other models.
Supported Languages 
en (Primary English support; Bilingual support with Chinese coming soon.)
Input Output 
Accepted Modalities:
text
Performance Tips:
Ensure `transformers` version 4.40.0 or later for optimal performance.
LLM NameQwen2 Math 7B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2-Math-7B-Instruct 
Model Size7b
Required VRAM15.4 GB
Updated2025-02-05
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  4.0 GB: 1-of-4   3.9 GB: 2-of-4   3.9 GB: 3-of-4   3.6 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2-Math-7B-Instruct.

Rank the Qwen2 Math 7B Instruct Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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