What are the hardware requirements for Aya Vision 32B Unsloth Bnb 4bit?

Aya Vision 32B Unsloth Bnb 4bit requires approximately 31.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Aya Vision 32B Unsloth Bnb 4bit and how large is it?

Aya Vision 32B Unsloth Bnb 4bit is developed by unsloth, 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 Unsloth Bnb 4bit?

Aya Vision 32B Unsloth Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aya Vision 32B Unsloth Bnb 4bit by unsloth — VRAM 31.2GB

Name: Aya Vision 32B Unsloth Bnb 4bit
Author: unsloth

Aya Vision 32B Unsloth Bnb 4bit is an open-source language model by unsloth. Features: 32b LLM, VRAM: 31.2GB, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.17.

Arxiv:2412.04261 4-bit 4bit Ar Aya vision Base model:coherelabs/aya-visi... Base model:quantized:coherelab... Bitsandbytes Conversational Cs De El En Es Fa Fr He Hi Id Image-text-to-text It Ja Ko Nl Pl Pt Quantized Region:us Ro Ru Safetensors Sharded Tensorflow Tr Uk Vi Vision Zh

Model Card on HF 🤗: https://huggingface.co/unsloth/aya-vision-32b-unsloth-bnb-4bit

Aya Vision 32B Unsloth Bnb 4bit Parameters and Internals

LLM Name	Aya Vision 32B Unsloth Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/aya-vision-32b-unsloth-bnb-4bit
Base Model(s)	CohereForAI/aya-vision-32b CohereForAI/aya-vision-32b
Model Size	32b
Required VRAM	31.2 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	aya_vision
Model Files	1.7 GB: 1-of-7 5.0 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 4.9 GB: 5-of-7 4.9 GB: 6-of-7 4.7 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	4bit
Model Architecture	AyaVisionForConditionalGeneration
License	cc-by-nc-4.0
Model Max Length	16384
Transformers Version	4.50.0.dev0
Tokenizer Class	CohereTokenizer
Padding Token	<PAD>
Torch Data Type	bfloat16

Rank the Aya Vision 32B Unsloth 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

Best Alternatives to Aya Vision 32B Unsloth Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Aya Vision 32B 8bit	0K / 35.5 GB	20	1
Aya Vision 32B	0K / 65.9 GB	42	3
Aya Vision 32B Bf16	0K / 65.9 GB	19	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/aya-vision-32b-unsloth-bnb-4bit.