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Mistral Small 3.2 24B Instruct 2506 by unsloth

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Mistral Small 3.2 24B Instruct 2506 is an open-source language model by unsloth. Features: 24b LLM, VRAM: 48.2GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

  Ar Base model:finetune:mistralai/... Base model:mistralai/mistral-s...   Bn   Conversational   De   En   Es   Fa   Fr   Hi   Id   Image-text-to-text   Instruct   It   Ja   Ko   Mistral3   Ms   Ne   Pl   Pt   Region:us   Ro   Ru   Safetensors   Sharded   Sr   Sv   Tensorflow   Tr   Uk   Vi   Vllm   Zh
Model Card on HF 🤗: https://huggingface.co/unsloth/Mistral-Small-3.2-24B-Instruct-2506 

Mistral Small 3.2 24B Instruct 2506 Benchmarks

LLME Score: 0.22448
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Small 3.2 24B Instruct 2506 (unsloth/Mistral-Small-3.2-24B-Instruct-2506)
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Mistral Small 3.2 24B Instruct 2506 Parameters and Internals

LLM NameMistral Small 3.2 24B Instruct 2506
Repository 🤗https://huggingface.co/unsloth/Mistral-Small-3.2-24B-Instruct-2506 
Base Model(s)  mistralai/Mistral-Small-3.2-24B-Instruct-2506   mistralai/Mistral-Small-3.2-24B-Instruct-2506
Model Size24b
Required VRAM48.2 GB
Updated2026-05-28
Maintainerunsloth
Instruction-BasedYes
Model Files  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
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/Mistral-Small-3.2-24B-Instruct-2506.

Rank the Mistral Small 3.2 24B Instruct 2506 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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