Llama 3.2 11B Vision needs ~11.5 GB VRAM. RX 6800 16GB has 16.0 GB. With Q4_K_M quantization, expect ~45 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
45.1 tok/s
TTFT
4291 ms
Safe context
16K
Memory
11.5 GB / 16.0 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 | 45.1 tok/s | 2341 ms | 16K |
| Coding | B | Runs well | 45.1 tok/s | 4291 ms | 16K |
| Agentic Coding | B | Tight fit | 45.1 tok/s | 6242 ms | 16K |
| Reasoning | B | Runs well | 45.1 tok/s | 5072 ms | 16K |
| RAG | B | Tight fit | 45.1 tok/s | 7802 ms | 16K |
How Llama 3.2 11B Vision (11B params) fits at each quantization level on RX 6800 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 4.3 GB | Low | B62 |
Q3_K_S | 3 | 5.4 GB | Low | B64 |
NVFP4 | 4 |
Copy-paste commands to run Llama 3.2 11B Vision on your machine.
Run
ollama run llama3.2-vision:11bYes, RX 6800 16GB can run Llama 3.2 11B Vision with a B grade (Runs well). Expected decode speed: 45.1 tok/s.
Llama 3.2 11B Vision (11B parameters) requires approximately 11.5 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 RX 6800 16GB, Llama 3.2 11B Vision achieves approximately 45.1 tokens per second decode speed with a time-to-first-token of 4291ms using Q4_K_M quantization.
For coding workloads, Llama 3.2 11B Vision on RX 6800 16GB receives a B grade with 45.1 tok/s and 16K context.
On RX 6800 16GB, 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-rx-6800-16gb" 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 |
| B64 |
Q4_K_M | 4 | 6.7 GB | Medium | B65 |
Q5_K_M | 5 | 7.9 GB | High | B66 |
Q6_K | 6 | 9.0 GB | High | B66 |
Q8_0Best for your GPU | 8 | 11.8 GB | Very High | B65 |
F16 | 16 | 22.5 GB | Maximum | F0 |