Can it run?
Runs well
Using Q4_K_M in vLLM
Fit status
Runs well
Decode
161.0 tok/s
TTFT
1202 ms
Safe context
25K
Memory
25.5 GB / 40.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | B | Runs well | 187.8 tok/s | 1499 ms | 50K |
| Chat | B | Runs well | 187.8 tok/s | 562 ms | 13K |
| Coding | B | Runs well | 161.0 tok/s | 1202 ms | 25K |
| RAG | B | Runs well | 187.8 tok/s | 1874 ms | 50K |
| Reasoning | B | Runs well | 187.8 tok/s | 1218 ms | 25K |
How Qwen3-VL 30B A3B Instruct (30B params) fits at each quantization level on NVIDIA A100 40GB (40.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | D36 |
Q3_K_S | 3 | 14.7 GB | Low | D37 |
NVFP4 | 4 |
huggingface-cli download qwen-3-vl-30b-a3b16.8 GB |
| Medium |
| D39 |
Q4_K_M | 4 | 18.3 GB | Medium | D39 |
Q5_K_M | 5 | 21.6 GB | High | C41 |
Q6_K | 6 | 24.6 GB | High | C43 |
Q8_0Best for your GPU | 8 | 32.1 GB | Very High | C45 |
F16 | 16 | 61.5 GB | Maximum | F0 |