llama
11B parameters
Commercial OK
Multimodal
Reviewed October 2026

Llama 3.2 11B Vision Instruct

First-party multimodal Llama. Accepts images alongside text for VQA, document understanding, and chart reading. Runs on 12GB+ VRAM.

License: Llama 3.2 Community License·Released Sep 25, 2024·Context: 131,072 tokens

Overview

First-party multimodal Llama. Accepts images alongside text for VQA, document understanding, and chart reading. Runs on 12GB+ VRAM.

Family & lineage

How this model relates to others in its lineage. Family members share architecture and training-data roots; parent / children edges record direct distillation or fine-tune relationships.

Parent / base model
Llama 3.1 8B Instruct8B
Consumer
Family siblings (llama-3.x-vision)
Llama 3.2 11B Vision Instruct11B
You are here
Llama 3.2 90B Vision Instruct90B
Datacenter

Strengths

  • Strong vision-language baseline
  • Document and chart understanding

Weaknesses

  • EU restricted by license
  • Higher VRAM than text-only 8B

Quantization variants

Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.

QuantizationFile sizeVRAM required
Q4_K_M7.9 GB11 GB
Q8_012.5 GB16 GB

Get the model

Ollama

One-line install

ollama run llama3.2-vision:11bRead our Ollama review →

HuggingFace

Original weights

huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct

Source repository — direct quantization required.

Hardware that runs this

Cards with enough VRAM for at least one quantization of Llama 3.2 11B Vision Instruct.

NVIDIA GeForce GTX 1080 Ti
11GB · nvidia · fits by VRAM, no benchmark yet
NVIDIA GeForce RTX 2080 Ti
11GB · nvidia · fits by VRAM, no benchmark yet
NVIDIA GeForce RTX 5070
12GB · nvidia · fits by VRAM, no benchmark yet
NVIDIA GeForce RTX 4070
12GB · nvidia · fits by VRAM, no benchmark yet
NVIDIA GeForce RTX 4070 Ti
12GB · nvidia · fits by VRAM, no benchmark yet
NVIDIA GeForce RTX 4070 Super
12GB · nvidia · fits by VRAM, no benchmark yet
NVIDIA GeForce RTX 3080 12GB
12GB · nvidia · fits by VRAM, no benchmark yet
AMD Radeon RX 7700 XT
12GB · amd · fits by VRAM, no benchmark yet
Compare alternatives

Models worth comparing

Same parameter band, plus what's one tier above and below — so you can decide what actually fits your hardware.

Frequently asked

What's the minimum VRAM to run Llama 3.2 11B Vision Instruct?

11GB of VRAM is enough to run Llama 3.2 11B Vision Instruct at the Q4_K_M quantization (file size 7.9 GB). Higher-quality quantizations need more.

Can I use Llama 3.2 11B Vision Instruct commercially?

Yes — Llama 3.2 11B Vision Instruct ships under the Llama 3.2 Community License, which permits commercial use. Always read the license text before deployment.

What's the context length of Llama 3.2 11B Vision Instruct?

Llama 3.2 11B Vision Instruct supports a context window of 131,072 tokens (about 131K).

How do I install Llama 3.2 11B Vision Instruct with Ollama?

Run `ollama pull llama3.2-vision:11b` to download, then `ollama run llama3.2-vision:11b` to start a chat session. The default quantization is Q4_K_M.

Does Llama 3.2 11B Vision Instruct support images?

Yes — Llama 3.2 11B Vision Instruct is multimodal and accepts text + vision inputs. Vision support requires a runner that handles its image-conditioning architecture.

Source: huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.

Related — keep moving

Compare hardware
Buyer guides
When it doesn't work
Recommended hardware
Alternatives
Llama 3.2 90B Vision Instruct
Before you buy

Verify Llama 3.2 11B Vision Instruct runs on your specific hardware before committing money.

Will it run on my hardware? →Custom hardware comparison →GPU recommender (4 questions) →