Mistral Small 3.2 24B Instruct 2506 8bit by mlx-community

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Mistral Small 3.2 24B Instruct 2506 8bit is an open-source language model by mlx-community. Features: 24b LLM, VRAM: 25GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.34, ELO: 1335.

  8-bit   8bit   Ar Base model:mistralai/mistral-s... Base model:quantized:mistralai...   Bn   De   En   Es   Fa   Fr   Hi   Id   Instruct   It   Ja   Ko   Mistral3   Mlx   Ms   Ne   Pl   Pt   Quantized   Region:us   Ro   Ru   Safetensors   Sharded   Sr   Sv   Tensorflow   Tr   Uk   Vi   Zh

Mistral Small 3.2 24B Instruct 2506 8bit Benchmarks

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 8bit Parameters and Internals

LLM NameMistral Small 3.2 24B Instruct 2506 8bit
Repository 🤗https://huggingface.co/mlx-community/Mistral-Small-3.2-24B-Instruct-2506-8bit 
Base Model(s)  mistralai/Mistral-Small-3.2-24B-Instruct-2506   mistralai/Mistral-Small-3.2-24B-Instruct-2506
Model Size24b
Required VRAM25 GB
Updated2026-02-26
Maintainermlx-community
Model Typemistral3
Instruction-BasedYes
Model Files  5.3 GB: 1-of-5   5.3 GB: 2-of-5   5.3 GB: 3-of-5   5.3 GB: 4-of-5   3.8 GB: 5-of-5
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
Quantization Type8bit
Model ArchitectureMistral3ForConditionalGeneration
Licenseapache-2.0
Transformers Version4.52.4
Tokenizer ClassLlamaTokenizerFast
Torch Data Typebfloat16

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Rank the Mistral Small 3.2 24B Instruct 2506 8bit 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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Release v20260328a