Can it run?
Runs well
Using Q4_K_M in llama.cpp
Fit status
Runs well
Decode
107.2 tok/s
TTFT
1806 ms
Safe context
26K
Memory
176.5 GB / 288.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | B | Runs well | 108.7 tok/s | 2591 ms | 51K |
| Chat | B | Runs well | 108.7 tok/s | 972 ms | 13K |
| Coding | B | Runs well | 107.2 tok/s | 1806 ms | 26K |
| RAG | B | Runs well | 108.7 tok/s | 3239 ms | 51K |
| Reasoning | B | Runs well | 108.7 tok/s | 2105 ms | 26K |
How Qwen 3 235B A22B (235B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 91.7 GB | Low | D36 |
Q3_K_S | 3 | 115.2 GB | Low | D38 |
NVFP4 | 4 |
huggingface-cli download qwen-3-235b-a22b131.6 GB |
| Medium |
| D39 |
Q4_K_M | 4 | 143.4 GB | Medium | C40 |
Q5_K_M | 5 | 169.2 GB | High | C42 |
Q6_KBest for your GPU | 6 | 192.7 GB | High | C44 |
Q8_0 | 8 | 251.5 GB | Very High | C45 |
F16 | 16 | 481.7 GB | Maximum | F0 |