Qwen2 Math 72B by Qwen

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  Arxiv:2407.10671   Chat   Conversational   En   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Qwen/Qwen2-Math-72B 

Qwen2 Math 72B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 Math 72B (Qwen/Qwen2-Math-72B)

Qwen2 Math 72B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
scientific community
Applications:
solving advanced mathematical problems
Primary Use Cases:
arithmetic and mathematical problem-solving
Considerations:
The model's instruction variant is meant for chatting, while the base variant is for completion and few-shot inference.
Additional Notes 
The model currently supports only English with a future plan for bilingual support.
Supported Languages 
en (primary)
Input Output 
Accepted Modalities:
text
LLM NameQwen2 Math 72B
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen2-Math-72B 
Model Size72b
Required VRAM145.5 GB
Updated2025-01-20
MaintainerQwen
Model Typeqwen2
Model Files  3.8 GB: 1-of-37   4.0 GB: 2-of-37   3.8 GB: 3-of-37   4.0 GB: 4-of-37   4.0 GB: 5-of-37   4.0 GB: 6-of-37   3.8 GB: 7-of-37   4.0 GB: 8-of-37   4.0 GB: 9-of-37   4.0 GB: 10-of-37   3.8 GB: 11-of-37   4.0 GB: 12-of-37   4.0 GB: 13-of-37   4.0 GB: 14-of-37   3.8 GB: 15-of-37   4.0 GB: 16-of-37   4.0 GB: 17-of-37   4.0 GB: 18-of-37   3.8 GB: 19-of-37   4.0 GB: 20-of-37   4.0 GB: 21-of-37   4.0 GB: 22-of-37   3.8 GB: 23-of-37   4.0 GB: 24-of-37   4.0 GB: 25-of-37   4.0 GB: 26-of-37   3.8 GB: 27-of-37   4.0 GB: 28-of-37   4.0 GB: 29-of-37   4.0 GB: 30-of-37   3.8 GB: 31-of-37   4.0 GB: 32-of-37   4.0 GB: 33-of-37   4.0 GB: 34-of-37   3.8 GB: 35-of-37   4.0 GB: 36-of-37   3.5 GB: 37-of-37
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.44.0
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-72B.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227