Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
170.0 tok/s
TTFT
1139 ms
Safe context
32K
Memory
4.0 GB / 8.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Runs well | 139.3 tok/s | 2022 ms | 64K |
| Chat | C | Runs well | 139.3 tok/s | 758 ms | 16K |
| Coding | C | Runs well | 170.0 tok/s | 1139 ms | 32K |
| RAG | C | Runs well | 139.3 tok/s | 2527 ms | 64K |
| Reasoning | C | Runs well | 139.3 tok/s | 1643 ms | 32K |
How Gemmasutra Mini 2B v1 (2B params) fits at each quantization level on Radeon PRO W7600 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.8 GB | Low | D32 |
Q3_K_S | 3 | 1.0 GB | Low | D32 |
NVFP4 | 4 |
| Medium |
| D32 |
Q4_K_M | 4 | 1.2 GB | Medium | D33 |
Q5_K_M | 5 | 1.4 GB | High | D33 |
Q6_K | 6 | 1.6 GB | High | D34 |
Q8_0 | 8 | 2.1 GB | Very High | D35 |
F16Best for your GPU | 16 | 4.1 GB | Maximum | C40 |
