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Qwen2.5 Math 1.5B Instruct by Qwen

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  Arxiv:2409.12122   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-math-1...   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-Math-1.5B-Instruct 

Qwen2.5 Math 1.5B Instruct Benchmarks

MMLU Pro: 8.9
GPQA: 2.01
MUSR: 3.53
BBH: 12.86
IFEval: 18.56 vs 88 (so35)-78.9%
MATH Lvl 5: 26.28
LLME Score: 0.28121
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 1.5B Instruct (Qwen/Qwen2.5-Math-1.5B-Instruct)
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Qwen2.5 Math 1.5B Instruct Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Education
Applications:
Mathematics Problem Solving
Primary Use Cases:
Mathematical question answering, Mathematics-based chat
Limitations:
> Mainly supports solving English and Chinese math problems, Does not recommend for other tasks
Considerations:
Focus on CoT and TIR for problem-solving
Additional Notes 
Qwen2.5-Math series supports both Chain-of-Thought (CoT) and Tool-Integrated Reasoning (TIR) for mathematical problem-solving.
Supported Languages 
en (Fluent), zh (Fluent)
Release Notes 
Version:
1.0
Date:
August 2024
Notes:
Initial release of Qwen2.5-Math-7B-Instruct with enhanced capability in solving math problems using CoT and TIR.
LLM NameQwen2.5 Math 1.5B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-Math-1.5B-Instruct 
Base Model(s)  Qwen/Qwen2.5-Math-1.5B   Qwen/Qwen2.5-Math-1.5B
Model Size1.5b
Required VRAM3.1 GB
Updated2025-09-07
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 Math 1.5B Instruct

Model
Likes
Downloads
VRAM
....5 Math 1.5B Instruct Bnb 4bit233711 GB

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-Math-1.5B-Instruct.

Rank the Qwen2.5 Math 1.5B 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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