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Qwen2.5 Math 7B by Qwen

 »  All LLMs  »  Qwen  »  Qwen2.5 Math 7B   URL Share it on

  192775   
  Arxiv:2409.12122   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-7b   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-Math-7B 

Qwen2.5 Math 7B Benchmarks

MMLU Pro: 19.09
GPQA: 5.82
MUSR: 5
BBH: 22.01
IFEval: 24.6 vs 88 (so35)-72%
MATH Lvl 5: 30.51
LLME Score: 0.37307
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Math 7B (Qwen/Qwen2.5-Math-7B)

Qwen2.5 Math 7B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
mathematics
Applications:
problem solving in math
Primary Use Cases:
solving English and Chinese math problems through Chain-of-Thought (CoT) and Tool-Integrated Reasoning (TIR)
Limitations:
Not recommended for tasks outside solving math problems
Supported Languages 
en (English), zh (Chinese)
LLM NameQwen2.5 Math 7B
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-Math-7B 
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM15.4 GB
Updated2025-02-22
MaintainerQwen
Model Typeqwen2
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 Version4.44.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 Math 7B

Model
Likes
Downloads
VRAM
Qwen2.5 Math 7B Bnb 4bit212425 GB

Best Alternatives to Qwen2.5 Math 7B

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Context / RAM
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Qwen2.5 7B Instruct 1M986K / 15.4 GB289038236
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Qwen 2.5 7B Exp Sce986K / 15.2 GB282
COCO 7B Instruct 1M986K / 15.2 GB1059
SJT 7B V1.1986K / 14.8 GB1521
Q2.5 Instruct 1M Harmony986K / 15.2 GB611
Impish QWEN 7B 1M986K / 15.2 GB701
Qwen 2.5 7B Deep Stock V5986K / 15.2 GB302
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-Math-7B.

Rank the Qwen2.5 Math 7B 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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