Llama 3.2 11B Vision needs ~13.1 GB VRAM. RTX 5000 Ada 32GB has 32.0 GB. With Q4_K_M quantization, expect ~69 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
73.8 tok/s
TTFT
2622 ms
Safe context
16K
Memory
13.1 GB / 32.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 73.8 tok/s | 1430 ms | 16K |
| Coding | B | Runs well | 68.7 tok/s | 2819 ms | 16K |
| Agentic Coding | B | Runs well | 73.8 tok/s | 3814 ms | 16K |
| Reasoning | B | Runs well | 73.8 tok/s | 3099 ms | 16K |
| RAG | B | Runs well | 73.8 tok/s | 4768 ms | 16K |
How Llama 3.2 11B Vision (11B params) fits at each quantization level on RTX 5000 Ada 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.3 GB | Low | B58 |
Q3_K_S | 3 | 5.4 GB | Low | B58 |
NVFP4 | 4 |
Copy-paste commands to run Llama 3.2 11B Vision on your machine.
Run
ollama run llama3.2-vision:11bYes, RTX 5000 Ada 32GB can run Llama 3.2 11B Vision with a B grade (Runs well). Expected decode speed: 68.7 tok/s.
Llama 3.2 11B Vision (11B parameters) requires approximately 13.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Llama 3.2 11B Vision is Q4_K_M, which balances quality and memory efficiency.
On RTX 5000 Ada 32GB, Llama 3.2 11B Vision achieves approximately 68.7 tokens per second decode speed with a time-to-first-token of 2819ms using Q4_K_M quantization.
For coding workloads, Llama 3.2 11B Vision on RTX 5000 Ada 32GB receives a B grade with 68.7 tok/s and 16K context.
On RTX 5000 Ada 32GB, Llama 3.2 11B Vision can safely use up to 16K tokens of context. The model's official context limit is 16K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/llama-3.2-11b-vision-on-rtx-5000-ada-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
6.2 GB |
| Medium |
| B58 |
Q4_K_M | 4 | 6.7 GB | Medium | B59 |
Q5_K_M | 5 | 7.9 GB | High | B59 |
Q6_K | 6 | 9.0 GB | High | B60 |
Q8_0 | 8 | 11.8 GB | Very High | B61 |
F16Best for your GPU | 16 | 22.5 GB | Maximum | B63 |