What are the hardware requirements for Llama 3.2 11B Vision Instruct?

Llama 3.2 11B Vision Instruct requires approximately 21.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.2 11B Vision Instruct and how large is it?

Llama 3.2 11B Vision Instruct is developed by unsloth, a model with 11b 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 Llama 3.2 11B Vision Instruct?

Llama 3.2 11B Vision Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 11B Vision Instruct by unsloth — VRAM 21.4GB

Name: Llama 3.2 11B Vision Instruct
Author: unsloth

Llama 3.2 11B Vision Instruct is an open-source language model by unsloth. Features: 11b LLM, VRAM: 21.4GB, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.19.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Deploy:azure En Endpoints compatible Facebook Image-text-to-text Instruct Llama Llama-3 Meta Mllama Multimodal Pytorch Region:us Safetensors Sharded Tensorflow Unsloth Vision

Model Card on HF 🤗: https://huggingface.co/unsloth/Llama-3.2-11B-Vision-Instruct

Llama 3.2 11B Vision Instruct Parameters and Internals

LLM Name	Llama 3.2 11B Vision Instruct
Repository 🤗	https://huggingface.co/unsloth/Llama-3.2-11B-Vision-Instruct
Base Model(s)	meta-llama/Llama-3.2-11B-Vision-Instruct meta-llama/Llama-3.2-11B-Vision-Instruct
Model Size	11b
Required VRAM	21.4 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	mllama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 5.0 GB: 4-of-5 1.5 GB: 5-of-5
Supported Languages	en
Model Architecture	MllamaForConditionalGeneration
License	llama3.2
Model Max Length	131072
Transformers Version	4.46.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Torch Data Type	bfloat16

Rank the Llama 3.2 11B Vision Instruct capabilities

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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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...1B Vision Instruct FP8 Dynamic	0K / 12.6 GB	4490	22
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...a 3.2 11B Vision Instruct 8bit	0K / 11.4 GB	1272	9
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