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Text model · Llama 3.2 Vision

Llama 3.2 Vision 11B: RAM and VRAM requirements

Llama 3.2 Vision 11B needs about 9 GB to run at Q4_K_M (the Q4_K_M GGUF file is ~7.36 GB to download; KV cache and overhead add the rest), or about 13.1 GB at Q8_0. The lightest hardware that runs it is Nvidia GeForce RTX 3060 (12GB).

Llama 3.2 Vision family · 10.7B params · released Sep 2024 · 4.6M Ollama pulls.

Shopping for hardware? See what runs Llama 3.2 Vision 11B →

Vision · accepts images License Llama 3.2 Community · Conditional ↓ 112.3K/mo ♥ 1.6K on HuggingFace
Q4_K_M GGUF
7.36 GB
Q8_0 GGUF
11.49 GB
Memory @ Q4 (4k)
~9 GB
Context
128 k

Q4_K_M and Q8_0 are GGUF download (file) sizes. Memory @ Q4 includes the KV cache and overhead, so it runs larger than the file on disk.

Will it run on your device?

Llama 3.2 Vision 11B runs on 29 of 40 tracked devices at Q4_K_M.

29 run well 0 tight fit 11 too small
Fit check Q4_K_M
Yes, it runs fast
needs 9 GB usable 10.5 GB
See the full breakdown
$ollama run llama3.2-vision:11b

Memory breakdown

Weights (Q4_K_M)7.36 GB
+
KV cache (4k)0.8 GB
+
Overhead0.8 GB
=
Total9 GB

How context length changes it

4k context ~9 GB 32k context ~14.5 GB 128k context ~33.3 GB

Longer context grows the KV cache quickly: Llama 3.2 Vision 11B needs ~9 GB at 4k but ~33.3 GB at 128k, which can push it past a device that fits it at a short context.

Speed drops too: every token re-reads the KV cache, so at 128k context Llama 3.2 Vision 11B generates at roughly ~23% of its short-context speed. How this is estimated.

Quantization sizes

GGUF quantson disk
Quantization Size on disk
Q2_K 4.5 GB est
Q3_K_M 5.2 GB est
Q4_K_M (default) 7.36 GB
Q5_K_M 7.6 GB est
Q6_K 8.8 GB est
Q8_0 11.49 GB
FP16 21.4 GB est

Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.

Run it

Ollama
$ ollama run llama3.2-vision:11b
llama.cpp
$ llama-cli -hf leafspark/Llama-3.2-11B-Vision-Instruct-GGUF:Q4_K_M
LM Studio
$ lms get leafspark/Llama-3.2-11B-Vision-Instruct-GGUF

Which devices can run Llama 3.2 Vision 11B?

Same job, different size

Pick by what fits your memory: step down to free up VRAM, or step up if you have headroom.

Similar models

FAQ

How much VRAM or RAM does Llama 3.2 Vision 11B need?

At Q4_K_M, Llama 3.2 Vision 11B needs about 9 GB (weights ~7.36 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~13.1 GB.

What is the Q4_K_M GGUF file size of Llama 3.2 Vision 11B?

The Q4_K_M GGUF file is about 7.36 GB to download, and the Q8_0 GGUF is about 11.49 GB. That is the weights file on disk; to run it you also need room for the KV cache and overhead, so budget ~9 GB of memory at Q4_K_M.

Can Llama 3.2 Vision 11B run on a laptop?

Llama 3.2 Vision 11B is large; you need a 24 GB+ GPU or a 32-48 GB Mac at Q4_K_M.

Can I use Llama 3.2 Vision 11B commercially?

Conditionally. Llama 3.2 Community License: free under 700M MAU.

Understand the numbers

Short guides to the ideas behind Llama 3.2 Vision 11B's memory and quant figures.

Meta Llama 3.2 Vision 11B: image understanding plus text. Q4 ~5.55GB plus a ~1.81GB vision projector, folded into the totals (matches the ~7.3GB Ollama llama3.2-vision tag). Vision needs an mmproj-capable runtime.

Sources

Last validated 2026-08-03. Memory figures are estimates. See methodology.