Can Qwen3-VL 30B A3B Instruct run on Radeon Pro W7800 32GB?
YES — Runs Great
Qwen3-VL 30B A3B Instruct needs ~24.4 GB VRAM. Radeon Pro W7800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~53 tok/s.
Operating mode
Choose the run profile you care about
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
53.1 tok/s
TTFT
3643 ms
Safe context
99K
Memory
24.4 GB / 32.0 GB
Memory breakdown
See how fast it feels
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 53.1 tok/s | 1987 ms | 99K |
| Coding | S | Runs well | 53.1 tok/s | 3643 ms | 99K |
| Agentic Coding | S | Runs well | 53.1 tok/s | 5299 ms | 99K |
| Reasoning | S | Runs well | 53.1 tok/s | 4305 ms | 99K |
| RAG | S | Runs well | 53.1 tok/s | 6623 ms | 99K |
Quantization options
How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on Radeon Pro W7800 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | S89 |
Q3_K_S | 3 | 14.7 GB | Low | S91 |
NVFP4 | 4 | 16.8 GB | Medium | S92 |
Q4_K_M | 4 | 18.3 GB | Medium | S91 |
Q5_K_M | 5 | 21.6 GB | High | S91 |
Q6_KBest for your GPU | 6 | 24.6 GB | High | S91 |
Q8_0 | 8 | 32.1 GB | Very High | F0 |
F16 | 16 | 61.5 GB | Maximum | F0 |
Get started
Copy-paste commands to run Qwen3-VL 30B A3B Instruct on your machine.
Run
lms load Qwen3-VL-30B-A3B-Instruct && lms server startYour hardware
