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Qwen2.5 Math 7B Instruct by Qwen

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  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
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct 

Qwen2.5 Math 7B Instruct Benchmarks

MMLU Pro: 20.22
GPQA: 1.57
MUSR: 2.89
BBH: 21.49
IFEval: 26.36 vs 88 (so35)-70%
MATH Lvl 5: 26.51
LLME Score: 0.387
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 (Qwen/Qwen2.5-Math-7B-Instruct)

Qwen2.5 Math 7B 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 7B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-Math-7B-Instruct 
Base Model(s)  Qwen/Qwen2.5-Math-7B   Qwen/Qwen2.5-Math-7B
Model Size7b
Required VRAM15.4 GB
Updated2024-12-21
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

Quantized Models of the Qwen2.5 Math 7B Instruct

Model
Likes
Downloads
VRAM
...n2.5 Math 7B Instruct Bnb 4bit121915 GB

Best Alternatives to Qwen2.5 Math 7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Cybertron V4 Qw7B UNAMGS128K / 15.2 GB22825
Gte Qwen2 7B Instruct128K / 30.5 GB41284235
Cybertron V4 Qw7B MGS128K / 15.2 GB27411
Rombos LLM V2.5 Qwen 7B128K / 15.2 GB30015
Qwen2 7B Instruct V0.1128K / 15.2 GB409681
Tsunami 0.5x 7B Instruct128K / 15.2 GB3641
Qwen2 7B Instruct V0.8128K / 15.2 GB409903
...areneg3Bv2 ECE PRYMMAL Martial128K / 15.2 GB601
Einstein V7 Qwen2 7B128K / 15.2 GB714535
Tsunami 0.5 7B Instruct128K / 15.2 GB3620
Note: green Score (e.g. "73.2") means that the model is better than Qwen/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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