What are the hardware requirements for Mistral Small 24B Instruct 2501?

Mistral Small 24B Instruct 2501 requires approximately 47.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Small 24B Instruct 2501 and how large is it?

Mistral Small 24B Instruct 2501 is developed by mistralai, 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 24B Instruct 2501 perform on standard benchmarks?

Mistral Small 24B Instruct 2501 has the following published scores: LMSYS ELO 1233. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral Small 24B Instruct 2501 by mistralai — VRAM 47.3GB

Name: Mistral Small 24B Instruct 2501
Author: mistralai

Mistral Small 24B Instruct 2501 is an open-source language model by mistralai. Features: 24b LLM, VRAM: 47.3GB, License: MNPL-0.1, Instruction-Based, LLM Explorer Score: 0.39, ELO: 1233.

Base model:finetune:mistralai/... Base model:mistralai/mistral-s... De En Es Eval-results Fr Instruct It Ja Ko Mistral Pt Region:us Ru Safetensors Sharded Tensorflow Vllm Zh

Model Card on HF 🤗: https://huggingface.co/mistralai/Mistral-Small-24B-Instruct-2501

Mistral Small 24B Instruct 2501 Benchmarks

LMSys ELO 1233 vs 1272 (so35) -3.1%

^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 24B Instruct 2501 Parameters and Internals

LLM Name	Mistral Small 24B Instruct 2501
Repository 🤗	https://huggingface.co/mistralai/Mistral-Small-24B-Instruct-2501
Base Model(s)	Mistral Small 24B Base 2501 mistralai/Mistral-Small-24B-Base-2501
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-07-28
Maintainer	mistralai
Instruction-Based	Yes
Model Files	47.1 GB 4.8 GB: 1-of-10 4.8 GB: 2-of-10 4.8 GB: 3-of-10 4.9 GB: 4-of-10 4.8 GB: 5-of-10 4.8 GB: 6-of-10 4.9 GB: 7-of-10 4.8 GB: 8-of-10 4.8 GB: 9-of-10 3.9 GB: 10-of-10
Supported Languages	en fr de es it pt zh ja ru ko
Model Architecture	MambaSSM
License	MNPL-0.1

Rank the Mistral Small 24B Instruct 2501 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

Quantized Models of the Mistral Small 24B Instruct 2501

Model	Likes	Downloads	VRAM
...l Small 24B Instruct 2501 4bit	14	1344	13 GB
...l Small 24B Instruct 2501 GGUF	12	97368	8 GB
...l Small 24B Instruct 2501 GGUF	28	6582	8 GB
...all 24B Instruct 2501 Bnb 4bit	3	4725	14 GB
...Instruct 2501 Unsloth Bnb 4bit	19	2955	15 GB

Best Alternatives to Mistral Small 24B Instruct 2501

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
...mall 3.2 24B Instruct 2506 FP8	128K / 25.8 GB	81	6
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

Note: green Score (e.g. "73.2") means that the model is better than mistralai/Mistral-Small-24B-Instruct-2501.