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 →
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.
Memory breakdown
How context length changes it
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
| 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 run llama3.2-vision:11b llama-cli -hf leafspark/Llama-3.2-11B-Vision-Instruct-GGUF:Q4_K_M lms get leafspark/Llama-3.2-11B-Vision-Instruct-GGUF Which devices can run Llama 3.2 Vision 11B?
Apple Silicon Macs
- Apple M1 (8GB) No
- Apple M2 (16GB) Yes
- Apple M4 (16GB) Yes
- Apple M5 (16GB) Yes
- Apple M3 Pro (18GB) Yes
- Apple M4 (24GB) Yes
- Apple M4 Pro (24GB) Yes
- Apple M5 (32GB) Yes
- Apple M4 Pro (48GB) Yes
- Apple M5 Pro (48GB) Yes
- Apple M4 Max (64GB) Yes
- Apple M4 Max (128GB) Yes
- Apple M5 Max (128GB) Yes
- Apple M3 Ultra (256GB) Yes
RAM-only laptops
iPhone & iPad
Android
NVIDIA GPUs
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.