Can it run?
Runs well
Using Q5_K_M in Ollama
Fit status
Runs well
Decode
68.7 tok/s
TTFT
2817 ms
Safe context
16K
Memory
16.7 GB / 24.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | B | Runs well | 68.7 tok/s | 4097 ms | 16K |
| Chat | C | Runs well | 68.7 tok/s | 1536 ms | 12K |
| Coding | B | Runs well | 68.7 tok/s | 2817 ms | 16K |
| RAG | B | Runs well | 68.7 tok/s | 5121 ms | 16K |
| Reasoning | B | Runs well | 68.7 tok/s | 3329 ms | 16K |
How StarCoder2 15B (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 | D36 |
NVFP4 | 4 | 8.4 GB | Medium | D36 |
Q4_K_M | 4 | 9.2 GB | Medium | D37 |
Q5_K_M | 5 | 10.8 GB | High | D39 |
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 |
ollama run starcoder2-15bhuggingface-cli download starcoder2-15b