Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
177.0 tok/s
TTFT
1093 ms
Safe context
57K
Memory
39.8 GB / 141.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 206.6 tok/s | 1363 ms | 101K |
| Chat | C | Runs well | 206.6 tok/s | 511 ms | 30K |
| Coding | C | Runs well | 177.0 tok/s | 1093 ms | 57K |
| RAG | C | Runs well | 206.6 tok/s | 1704 ms | 101K |
| Reasoning | C | Runs well | 206.6 tok/s | 1108 ms | 57K |
How Qwen 2.5 Coder 32B (32B params) fits at each quantization level on NVIDIA H200 141GB (141.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | D31 |
Q3_K_S | 3 | 15.7 GB | Low | D32 |
NVFP4 | 4 |
ollama run qwen-2.5-coder-32bhuggingface-cli download qwen-2.5-coder-32b17.9 GB |
| Medium |
| D32 |
Q4_K_M | 4 | 19.5 GB | Medium | D32 |
Q5_K_M | 5 | 23.0 GB | High | D33 |
Q6_K | 6 | 26.2 GB | High | D33 |
Q8_0 | 8 | 34.2 GB | Very High | D35 |
F16Best for your GPU | 16 | 65.6 GB | Maximum | D39 |