Devstral Small 2507 by unsloth

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Devstral Small 2507 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Devstral Small 2507 (unsloth/Devstral-Small-2507)
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Devstral Small 2507 Parameters and Internals

LLM NameDevstral Small 2507
Repository ๐Ÿค—https://huggingface.co/unsloth/Devstral-Small-2507 
Base Model(s)  mistralai/Mistral-Small-3.1-24B-Instruct-2503   mistralai/Mistral-Small-3.1-24B-Instruct-2503
Model Size24b
Required VRAM47.3 GB
Updated2025-08-26
Maintainerunsloth
Instruction-BasedYes
Model Files  4.8 GB: 1-of-10   4.8 GB: 2-of-10   4.8 GB: 3-of-10   4.9 GB: 4-of-10   4.8 GB: 5-of-10   4.8 GB: 6-of-10   4.9 GB: 7-of-10   4.8 GB: 8-of-10   4.8 GB: 9-of-10   3.9 GB: 10-of-10
Supported Languagesen fr de es pt it ja ko ru zh ar fa id ms ne pl ro sr sv tr uk vi hi bn
Model ArchitectureMambaSSM
Licenseapache-2.0
Model Max Length131072
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size131072

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Note: green Score (e.g. "73.2") means that the model is better than unsloth/Devstral-Small-2507.

Rank the Devstral Small 2507 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