Llama 3.2 11B Vision needs ~12.3 GB VRAM. RTX 4500 Ada 24GB has 24.0 GB. With Q4_K_M quantization, expect ~51 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
54.7 tok/s
TTFT
3541 ms
Safe context
16K
Memory
12.3 GB / 24.0 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 | 54.7 tok/s | 1931 ms | 16K |
| Coding | B | Runs well | 50.9 tok/s | 3806 ms | 16K |
| Agentic Coding | B | Runs well | 54.7 tok/s | 5150 ms | 16K |
| Reasoning | B | Runs well | 54.7 tok/s | 4185 ms | 16K |
| RAG | B | Runs well | 54.7 tok/s | 6438 ms | 16K |
How Llama 3.2 11B Vision (11B params) fits at each quantization level on RTX 4500 Ada 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.3 GB | Low | B59 |
Q3_K_S | 3 | 5.4 GB | Low | B60 |
NVFP4 | 4 |
Copy-paste commands to run Llama 3.2 11B Vision on your machine.
Run
ollama run llama3.2-vision:11bYes, RTX 4500 Ada 24GB can run Llama 3.2 11B Vision with a B grade (Runs well). Expected decode speed: 50.9 tok/s.
Llama 3.2 11B Vision (11B parameters) requires approximately 12.3 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 4500 Ada 24GB, Llama 3.2 11B Vision achieves approximately 50.9 tokens per second decode speed with a time-to-first-token of 3806ms using Q4_K_M quantization.
For coding workloads, Llama 3.2 11B Vision on RTX 4500 Ada 24GB receives a B grade with 50.9 tok/s and 16K context.
On RTX 4500 Ada 24GB, 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-4500-ada-24gb" 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 |
| B61 |
Q4_K_M | 4 | 6.7 GB | Medium | B61 |
Q5_K_M | 5 | 7.9 GB | High | B62 |
Q6_K | 6 | 9.0 GB | High | B62 |
Q8_0Best for your GPU | 8 | 11.8 GB | Very High | B64 |
F16 | 16 | 22.5 GB | Maximum | F0 |