Qwen2.5 Math 7B Instruct by ZMC2019

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Qwen2.5 Math 7B Instruct is an open-source language model by ZMC2019. Features: 7b LLM, VRAM: 15.4GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

  Arxiv:2409.12122   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-math-7...   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5 Math 7B Instruct Benchmarks

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 Instruct (ZMC2019/Qwen2.5-Math-7B-Instruct)
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Qwen2.5 Math 7B Instruct Parameters and Internals

LLM NameQwen2.5 Math 7B Instruct
Repository ๐Ÿค—https://huggingface.co/ZMC2019/Qwen2.5-Math-7B-Instruct 
Base Model(s)  Qwen/Qwen2.5-Math-7B   Qwen/Qwen2.5-Math-7B
Model Size7b
Required VRAM15.4 GB
Updated2025-09-19
MaintainerZMC2019
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 Length32768
Model Max Length32768
Transformers Version4.49.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 7B Instruct 1M986K / 15.4 GB58209362
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COCO 7B Instruct 1M986K / 15.2 GB34
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Note: green Score (e.g. "73.2") means that the model is better than ZMC2019/Qwen2.5-Math-7B-Instruct.

Rank the Qwen2.5 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 v20260328a