Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
65.9 tok/s
TTFT
2938 ms
Safe context
20K
Memory
62.8 GB / 80.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 65.9 tok/s | 4273 ms | 35K |
| Chat | B | Runs well | 65.9 tok/s | 1602 ms | 11K |
| Coding | B | Runs well | 65.9 tok/s | 2938 ms | 20K |
| RAG | C | Tight fit | 65.9 tok/s | 5341 ms | 35K |
| Reasoning | B | Runs well | 65.9 tok/s | 3472 ms | 20K |
How Llama 3.3 70B Instruct (70B params) fits at each quantization level on NVIDIA H100 80GB (80.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 27.3 GB | Low | D37 |
Q3_K_S | 3 | 34.3 GB | Low | D38 |
NVFP4 | 4 | 39.2 GB | Medium | D40 |
Q4_K_M | 4 | 42.7 GB | Medium | C41 |
Q5_K_M | 5 | 50.4 GB | High | C43 |
Q6_KBest for your GPU | 6 | 57.4 GB | High | C44 |
Q8_0 | 8 | 74.9 GB | Very High | C44 |
F16 | 16 | 143.5 GB | Maximum | F0 |
