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Mistral Small 3.1 24B Base 2503 by mistralai

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Model Card on HF 🤗: https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Base-2503 

Mistral Small 3.1 24B Base 2503 Benchmarks

LLME Score: 0.30126
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Small 3.1 24B Base 2503 (mistralai/Mistral-Small-3.1-24B-Base-2503)
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Mistral Small 3.1 24B Base 2503 Parameters and Internals

LLM NameMistral Small 3.1 24B Base 2503
Repository 🤗https://huggingface.co/mistralai/Mistral-Small-3.1-24B-Base-2503 
Model Size24b
Required VRAM48.2 GB
Updated2025-09-23
Maintainermistralai
Model Files  48.0 GB   4.9 GB: 1-of-10   4.8 GB: 2-of-10   4.9 GB: 3-of-10   4.8 GB: 4-of-10   4.8 GB: 5-of-10   4.9 GB: 6-of-10   4.8 GB: 7-of-10   4.8 GB: 8-of-10   4.9 GB: 9-of-10   4.6 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
LicenseMNPL-0.1
Context Length131072
Model Max Length131072
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size131072

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...al Small 3.2 24B Instruct 2506128K / 48.2 GB72331476
Magistral Small 2509128K / 48.2 GB17924218
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Devstral Small 2507128K / 47.3 GB18538333
Magistral Small 2509128K / 48.2 GB6075
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...al Small 3.1 24B Instruct 25030K / 48.2 GB2272481318
...istral Small 24B Instruct 25010K / 47.3 GB369083946
Mistral Small 24B Base 25010K / 47.3 GB15726258
Magistral Small 25070K / 47.3 GB716598
Note: green Score (e.g. "73.2") means that the model is better than mistralai/Mistral-Small-3.1-24B-Base-2503.

Rank the Mistral Small 3.1 24B Base 2503 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
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