Mathstral 7B V0.1 by mistralai

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  Autotrain compatible   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mathstral 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").
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Mathstral 7B V0.1 Parameters and Internals

LLM NameMathstral 7B V0.1
Repository ๐Ÿค—https://huggingface.co/mistralai/Mathstral-7B-v0.1 
Model Size7b
Required VRAM29 GB
Updated2025-06-10
Maintainermistralai
Model Files  14.5 GB   5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.3 GB: 6-of-6
Gated ModelYes
Model ArchitectureAutoModelForCausalLM
Licenseproprietary
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Mathstral 7B V0.1 (mistralai/Mathstral-7B-v0.1)

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Note: green Score (e.g. "73.2") means that the model is better than mistralai/Mathstral-7B-v0.1.

Rank the Mathstral 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