What are the hardware requirements for Mistralai Devstral Small 2 24B Instruct 2512 MLX MXFP4?

Mistralai Devstral Small 2 24B Instruct 2512 MLX MXFP4 requires approximately 12.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Where can I download or evaluate Mistralai Devstral Small 2 24B Instruct 2512 MLX MXFP4?

Mistralai Devstral Small 2 24B Instruct 2512 MLX MXFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistralai Devstral Small 2 24B Instruct 2512 MLX MXFP4 by mlx-community — VRAM 12.5GB

Name: Mistralai Devstral Small 2 24B Instruct 2512 MLX MXFP4
Author: mlx-community

Mistralai Devstral Small 2 24B Instruct 2512 MLX MXFP4 is an open-source language model by mlx-community. Features: 24b LLM, VRAM: 12.5GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

4-bit Base model:mistralai/devstral-... Base model:quantized:mistralai... Conversational Image-text-to-text Instruct Mistral-common Mistral3 Mlx Mxfp4 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/mistralai_Devstral-Small-2-24B-Instruct-2512-MLX-MXFP4

Mistralai Devstral Small 2 24B Instruct 2512 MLX MXFP4 Parameters and Internals

LLM Name	Mistralai Devstral Small 2 24B Instruct 2512 MLX MXFP4
Repository 🤗	https://huggingface.co/mlx-community/mistralai_Devstral-Small-2-24B-Instruct-2512-MLX-MXFP4
Base Model(s)	...tral Small 2 24B Instruct 2512 mistralai/Devstral-Small-2-24B-Instruct-2512
Model Size	24b
Required VRAM	12.5 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	mistral3
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-3 5.3 GB: 2-of-3 1.9 GB: 3-of-3
Model Architecture	Mistral3ForConditionalGeneration
License	apache-2.0
Transformers Version	5.0.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<pad>

Rank the Mistralai Devstral Small 2 24B Instruct 2512 MLX MXFP4 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 Mistralai Devstral Small 2 24B Instruct 2512 MLX MXFP4

Best Alternatives	Context / RAM	Downloads	Likes
...resolvable Pattern Finetune V1	0K / 48.2 GB	55	0
...all 3.2 24B Instruct 2506 Bf16	0K / 46.9 GB	128	1
...3.2 24B Instruct 2506 Bnb 4bit	0K / 14.5 GB	7430	10
...Instruct 2506 Unsloth Bnb 4bit	0K / 14.6 GB	2107	13
...all 3.2 24B Instruct 2506 8bit	0K / 25 GB	320	4
...2 24B Instruct 2512 OptiQ 4bit	0K / 16.5 GB	422	1
...l 2 24B Instruct 2512 MLX 8Bit	0K / 25 GB	3915	6
...all 3.2 24B Instruct 2506 4bit	0K / 13.3 GB	682	1
Devstral Small 2507 GGUF	0K / 0.9 GB	4818	80

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/mistralai_Devstral-Small-2-24B-Instruct-2512-MLX-MXFP4.