What are the hardware requirements for Ministral 3 3B Instruct 2512?

Ministral 3 3B Instruct 2512 requires approximately 6.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ministral 3 3B Instruct 2512 and how large is it?

Ministral 3 3B Instruct 2512 is developed by mlx-community, a model with 3b 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 Ministral 3 3B Instruct 2512?

Ministral 3 3B Instruct 2512 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ministral 3 3B Instruct 2512 by mlx-community — VRAM 6.8GB

Name: Ministral 3 3B Instruct 2512
Author: mlx-community

Ministral 3 3B Instruct 2512 is an open-source language model by mlx-community. Features: 3b LLM, VRAM: 6.8GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

Ar Base model:mistralai/ministral... Base model:quantized:mistralai... Conversational De En Es Fp8 Fr Instruct It Ja Ko Mistral-common Mistral3 Mlx Nl Pt Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/mlx-community/Ministral-3-3B-Instruct-2512

Ministral 3 3B Instruct 2512 Parameters and Internals

LLM Name	Ministral 3 3B Instruct 2512
Repository 🤗	https://huggingface.co/mlx-community/Ministral-3-3B-Instruct-2512
Base Model(s)	Ministral 3 3B Instruct 2512 mistralai/Ministral-3-3B-Instruct-2512
Model Size	3b
Required VRAM	6.8 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	mistral3
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en fr es de it pt nl zh ja ko ar
Model Architecture	Mistral3ForConditionalGeneration
License	apache-2.0
Transformers Version	5.0.0.dev0
Tokenizer Class	TokenizersBackend
Padding Token	<pad>

Rank the Ministral 3 3B Instruct 2512 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 Ministral 3 3B Instruct 2512

Best Alternatives	Context / RAM	Downloads	Likes
...istral 3 3B Instruct 2512 ONNX	0K / GB	436	32
...al 3 3B Instruct 2512 Bnb 4bit	0K / 3.2 GB	693	0
Koa AI V1 Code 3B	0K / 7.7 GB	356	1
Amaretto 3B	0K / 7.7 GB	591	1

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Ministral-3-3B-Instruct-2512.