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Qwen2.5 Math 7B Instruct SocraticLM by CogBase-USTC

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  Autotrain compatible   Conversational   En   Endpoints compatible   Full   Generated from trainer   Instruct   Llama-factory   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/CogBase-USTC/Qwen2.5-Math-7B-Instruct-SocraticLM 

Qwen2.5 Math 7B Instruct SocraticLM Benchmarks

LLME Score: 0.21733
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Qwen2.5 Math 7B Instruct SocraticLM Parameters and Internals

LLM NameQwen2.5 Math 7B Instruct SocraticLM
Repository 🤗https://huggingface.co/CogBase-USTC/Qwen2.5-Math-7B-Instruct-SocraticLM 
Base Model(s)  Qwen2.5-Math-7B-Instruct   /Qwen2.5-Math-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-06-11
MaintainerCogBase-USTC
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Qwen2.5 Math 7B Instruct SocraticLM (CogBase-USTC/Qwen2.5-Math-7B-Instruct-SocraticLM)

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Note: green Score (e.g. "73.2") means that the model is better than CogBase-USTC/Qwen2.5-Math-7B-Instruct-SocraticLM.

Rank the Qwen2.5 Math 7B Instruct SocraticLM 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 v20241124
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