What are the hardware requirements for Mistral Small 3.2 24B Instruct 2506?

Mistral Small 3.2 24B Instruct 2506 requires approximately 48.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Small 3.2 24B Instruct 2506 and how large is it?

Mistral Small 3.2 24B Instruct 2506 is developed by unsloth, a model with 24b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Mistral Small 3.2 24B Instruct 2506?

Mistral Small 3.2 24B Instruct 2506 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Small 3.2 24B Instruct 2506 by unsloth — VRAM 48.2GB

Name: Mistral Small 3.2 24B Instruct 2506
Author: unsloth

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 Parameters and Internals

LLM Name	Mistral 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 Size	24b
Required VRAM	48.2 GB
Updated	2026-07-15
Maintainer	unsloth
Instruction-Based	Yes
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 Languages	en fr de es pt it ja ko ru zh ar fa id ms ne pl ro sr sv tr uk vi hi bn
Model Architecture	MambaSSM
License	apache-2.0
Model Max Length	131072
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072

Rank the Mistral Small 3.2 24B Instruct 2506 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Mistral Small 3.2 24B Instruct 2506

Best Alternatives	Context / RAM	Downloads	Likes
...tral Small 2 24B Instruct 2512	384K / 51.6 GB	240440	618
...Small 2 24B Instruct 2512 Bf16	384K / 47.8 GB	367	4
...al Small 3.2 24B Instruct 2506	128K / 48.2 GB	312176	602
Devstral Small 2507	128K / 47.3 GB	116445	368
Magistral Small 2509	128K / 48.2 GB	33508	305
Devstral Small 2505	128K / 47.3 GB	4960	867
Magistral Small 2506	40K / 47.3 GB	18796	609
Magistral Small 2507	40K / 47.3 GB	632	104
...al Small 3.1 24B Instruct 2503	0K / 48.2 GB	298064	1378
...istral Small 24B Instruct 2501	0K / 47.3 GB	85437	962

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Mistral-Small-3.2-24B-Instruct-2506.