What are the hardware requirements for Aya Vision 32B 8bit?

Aya Vision 32B 8bit requires approximately 35.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Aya Vision 32B 8bit and how large is it?

Aya Vision 32B 8bit is developed by mlx-community, a model with 32b 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 Aya Vision 32B 8bit?

Aya Vision 32B 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aya Vision 32B 8bit by mlx-community — VRAM 35.5GB

Name: Aya Vision 32B 8bit
Author: mlx-community

Aya Vision 32B 8bit is an open-source language model by mlx-community. Features: 32b LLM, VRAM: 35.5GB, License: cc-by-nc-4.0, Quantized.

Model Card on HF 🤗: https://huggingface.co/mlx-community/aya-vision-32b-8bit

Aya Vision 32B 8bit Parameters and Internals

LLM Name	Aya Vision 32B 8bit
Repository 🤗	https://huggingface.co/mlx-community/aya-vision-32b-8bit
Model Size	32b
Required VRAM	35.5 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	aya_vision
Model Files	5.2 GB: 1-of-7 5.2 GB: 2-of-7 5.2 GB: 3-of-7 5.2 GB: 4-of-7 5.2 GB: 5-of-7 5.2 GB: 6-of-7 4.3 GB: 7-of-7
Supported Languages	en fr de es it pt ja ko zh ar el fa pl id cs he hi nl ro ru tr uk vi
Quantization Type	8bit
Model Architecture	AyaVisionForConditionalGeneration
License	cc-by-nc-4.0
Transformers Version	4.50.0.dev0
Tokenizer Class	CohereTokenizer
Padding Token	<PAD>
Torch Data Type	float16

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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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Aya Vision 32B Bf16	0K / 65.9 GB	19	1