Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
102.8 tok/s
TTFT
1883 ms
Safe context
49K
Memory
10.5 GB / 32.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 102.8 tok/s | 2739 ms | 87K |
| Chat | C | Runs well | 102.8 tok/s | 1027 ms | 25K |
| Coding | C | Runs well | 102.8 tok/s | 1883 ms | 49K |
| RAG | C | Runs well | 102.8 tok/s | 3423 ms | 87K |
| Reasoning | C | Runs well | 102.8 tok/s | 2225 ms | 49K |
How llava llama 3 8b v1 1 (8B params) fits at each quantization level on AMD Instinct MI60 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.1 GB | Low | D32 |
Q3_K_S | 3 | 3.9 GB | Low | D32 |
NVFP4 | 4 | 4.5 GB | Medium | D32 |
Q4_K_M | 4 | 4.9 GB | Medium | D33 |
Q5_K_M | 5 | 5.8 GB | High | D33 |
Q6_K | 6 | 6.6 GB | High | D34 |
Q8_0 | 8 | 8.6 GB | Very High | D35 |
F16Best for your GPU | 16 | 16.4 GB | Maximum | C40 |
