Can Qwen3-VL 30B A3B Instruct run on AMD Instinct MI250 128GB?
YES — Runs Great
Qwen3-VL 30B A3B Instruct needs ~35.0 GB VRAM. AMD Instinct MI250 128GB has 128.0 GB. With Q4_K_M quantization, expect ~259 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
258.6 tok/s
TTFT
749 ms
Safe context
256K
Memory
35.0 GB / 128.0 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 | 258.6 tok/s | 408 ms | 256K |
| Coding | S | Runs well | 258.6 tok/s | 749 ms | 256K |
| Agentic Coding | S | Runs well | 258.6 tok/s | 1089 ms | 256K |
| Reasoning | S | Runs well | 258.6 tok/s | 885 ms | 256K |
| RAG | S | Runs well | 258.6 tok/s | 1361 ms | 256K |
Quantization options
How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on AMD Instinct MI250 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | A81 |
Q3_K_S | 3 | 14.7 GB | Low | A81 |
NVFP4 | 4 | 16.8 GB | Medium | A81 |
Q4_K_M | 4 | 18.3 GB | Medium | A81 |
Q5_K_M | 5 | 21.6 GB | High | A81 |
Q6_K | 6 | 24.6 GB | High | A82 |
Q8_0 | 8 | 32.1 GB | Very High | A83 |
F16Best for your GPU | 16 | 61.5 GB | Maximum | S88 |
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
