Can it run?
Too heavy
Using Q4_K_M in vLLM
Fit status
Too heavy
Decode
29.0 tok/s
TTFT
6676 ms
Safe context
7K
Memory
646.2 GB / 288.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | F | Too heavy | 29.0 tok/s | 9710 ms | 14K |
| Chat | F | Too heavy | 29.0 tok/s | 3641 ms | 4K |
| Coding | F | Too heavy | 29.0 tok/s | 6676 ms | 7K |
| RAG | F | Too heavy | 29.0 tok/s | 12138 ms | 14K |
| Reasoning | F | Too heavy | 29.0 tok/s | 7889 ms | 7K |
How Kimi K2.5 (1000B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 390.0 GB | Low | F0 |
Q3_K_S | 3 | 490.0 GB | Low | F0 |
NVFP4 | 4 |
| Medium |
| F0 |
Q4_K_M | 4 | 610.0 GB | Medium | F0 |
Q5_K_M | 5 | 720.0 GB | High | F0 |
Q6_K | 6 | 820.0 GB | High | F0 |
Q8_0 | 8 | 1070.0 GB | Very High | F0 |
F16 | 16 | 2050.0 GB | Maximum | F0 |
