Can it run?
Runs well
Using Q4_K_M in Ollama
Fit status
Runs well
Decode
79.5 tok/s
TTFT
2434 ms
Safe context
25K
Memory
15.1 GB / 24.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | B | Runs well | 79.5 tok/s | 3541 ms | 44K |
| Chat | C | Runs well | 79.5 tok/s | 1328 ms | 14K |
| Coding | C | Runs well | 79.5 tok/s | 2434 ms | 25K |
| RAG | B | Runs well | 79.5 tok/s | 4426 ms | 44K |
| Reasoning | C | Runs well | 79.5 tok/s | 2877 ms | 25K |
How starcoder2 15b instruct v0.1 (15B params) fits at each quantization level on NVIDIA A30 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.9 GB | Low | D34 |
Q3_K_S | 3 | 7.4 GB | Low | D35 |
NVFP4 | 4 | 8.4 GB | Medium | D36 |
Q4_K_M | 4 | 9.2 GB | Medium | D37 |
Q5_K_M | 5 | 10.8 GB | High | D38 |
Q6_K | 6 | 12.3 GB | High | D40 |
Q8_0Best for your GPU | 8 | 16.1 GB | Very High | C43 |
F16 | 16 | 30.7 GB | Maximum | F0 |
