Rho Math 7B V0.1 by microsoft

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  Arxiv:2404.07965   Autotrain compatible   En   Endpoints compatible   Math   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Rho Math 7B V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rho Math 7B V0.1 (microsoft/rho-math-7b-v0.1)
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Rho Math 7B V0.1 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Rho-1 base models employ Selective Language Modeling (SLM) for pretraining. Models released include Rho-Math-1B and Rho-Math-7B with improvements in few-shot accuracy on the MATH dataset.
Supported Languages 
en (Level not specified)
LLM NameRho Math 7B V0.1
Repository ๐Ÿค—https://huggingface.co/microsoft/rho-math-7b-v0.1 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-15
Maintainermicrosoft
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than microsoft/rho-math-7b-v0.1.

Rank the Rho Math 7B V0.1 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124