What are the hardware requirements for Mistral Small 3.2 24B Instruct 2506 Bnb 4bit?

Mistral Small 3.2 24B Instruct 2506 Bnb 4bit requires approximately 14.5 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 Bnb 4bit and how large is it?

Mistral Small 3.2 24B Instruct 2506 Bnb 4bit 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.

How does Mistral Small 3.2 24B Instruct 2506 Bnb 4bit perform on standard benchmarks?

Mistral Small 3.2 24B Instruct 2506 Bnb 4bit has the following published scores: LMSYS ELO 1335. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral Small 3.2 24B Instruct 2506 Bnb 4bit by unsloth — VRAM 14.5GB

Name: Mistral Small 3.2 24B Instruct 2506 Bnb 4bit
Author: unsloth

Mistral Small 3.2 24B Instruct 2506 Bnb 4bit is an open-source language model by unsloth. Features: 24b LLM, VRAM: 14.5GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.36, ELO: 1335.

4-bit 4bit Ar Base model:mistralai/mistral-s... Base model:quantized:mistralai... Bitsandbytes Bn Conversational De En Es Fa Fr Hi Id Image-text-to-text Instruct It Ja Ko Mistral3 Ms Ne Pl Pt Quantized 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-bnb-4bit

Mistral Small 3.2 24B Instruct 2506 Bnb 4bit Benchmarks

LMSys ELO 1335 vs 1272 (so35) 5%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Mistral Small 3.2 24B Instruct 2506 Bnb 4bit Parameters and Internals

LLM Name	Mistral Small 3.2 24B Instruct 2506 Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Mistral-Small-3.2-24B-Instruct-2506-bnb-4bit
Base Model(s)	mistralai/Mistral-Small-3.2-24B-Instruct-2506 mistralai/Mistral-Small-3.2-24B-Instruct-2506
Model Size	24b
Required VRAM	14.5 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	mistral3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
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
Quantization Type	4bit
Model Architecture	Mistral3ForConditionalGeneration
License	apache-2.0
Model Max Length	131072
Transformers Version	4.52.4
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Torch Data Type	bfloat16

Rank the Mistral Small 3.2 24B Instruct 2506 Bnb 4bit 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

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...Instruct 2506 Unsloth Bnb 4bit	0K / 14.6 GB	2107	13
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