Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
65.6 tok/s
TTFT
2952 ms
Safe context
23K
Memory
66.0 GB / 96.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | B | Runs well | 65.6 tok/s | 4294 ms | 40K |
| Chat | C | Runs well | 65.6 tok/s | 1610 ms | 13K |
| Coding | C | Runs well | 65.6 tok/s | 2952 ms | 23K |
| RAG | B | Runs well | 65.6 tok/s | 5368 ms | 40K |
| Reasoning | C | Runs well | 65.6 tok/s | 3489 ms | 23K |
How BaichuanMed OCR 72B i1 (72B params) fits at each quantization level on NVIDIA H20 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 28.1 GB | Low | D35 |
Q3_K_S | 3 | 35.3 GB | Low | D36 |
NVFP4 | 4 |
40.3 GB |
| Medium |
| D38 |
Q4_K_M | 4 | 43.9 GB | Medium | D38 |
Q5_K_M | 5 | 51.8 GB | High | C40 |
Q6_K | 6 | 59.0 GB | High | C42 |
Q8_0Best for your GPU | 8 | 77.0 GB | Very High | C44 |
F16 | 16 | 147.6 GB | Maximum | F0 |
