Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
52.5 tok/s
TTFT
3687 ms
Safe context
22K
Memory
23.8 GB / 32.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | B | Runs well | 52.5 tok/s | 5363 ms | 43K |
| Chat | B | Runs well | 52.5 tok/s | 2011 ms | 11K |
| Coding | B | Runs well | 52.5 tok/s | 3687 ms | 22K |
| RAG | B | Runs well | 52.5 tok/s | 6704 ms | 43K |
| Reasoning | B | Runs well | 52.5 tok/s | 4358 ms | 22K |
How Qwen3-Coder 30B A3B Instruct (30.5B params) fits at each quantization level on Radeon AI PRO R9700 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.9 GB | Low | D38 |
Q3_K_S | 3 | 14.9 GB | Low | D40 |
NVFP4 | 4 | 17.1 GB | Medium | C41 |
Q4_K_M | 4 | 18.6 GB | Medium | C42 |
Q5_K_M | 5 | 22.0 GB | High | C44 |
Q6_KBest for your GPU | 6 | 25.0 GB | High | C45 |
Q8_0 | 8 | 32.6 GB | Very High | F0 |
F16 | 16 | 62.5 GB | Maximum | F0 |
ollama run qwen-3-coder-30b-a3bhuggingface-cli download qwen-3-coder-30b-a3b