Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
134.9 tok/s
TTFT
1694 ms
Safe context
55K
Memory
83.6 GB / 288.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 134.9 tok/s | 2464 ms | 97K |
| Chat | C | Runs well | 134.9 tok/s | 924 ms | 29K |
| Coding | C | Runs well | 134.9 tok/s | 1694 ms | 55K |
| RAG | C | Runs well | 134.9 tok/s | 3080 ms | 97K |
| Reasoning | C | Runs well | 134.9 tok/s | 2002 ms | 55K |
How Llama 3.3 70B (70B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 27.3 GB | Low | D31 |
Q3_K_S | 3 | 34.3 GB | Low | D32 |
NVFP4 | 4 |
ollama run llama-3.3-70bhuggingface-cli download llama-3.3-70b39.2 GB |
| Medium |
| D32 |
Q4_K_M | 4 | 42.7 GB | Medium | D33 |
Q5_K_M | 5 | 50.4 GB | High | D33 |
Q6_K | 6 | 57.4 GB | High | D34 |
Q8_0 | 8 | 74.9 GB | Very High | D35 |
F16Best for your GPU | 16 | 143.5 GB | Maximum | C40 |