Can it run?
Runs well
Using Q4_K_M in vLLM
Fit status
Runs well
Decode
75.5 tok/s
TTFT
2563 ms
Safe context
25K
Memory
15.5 GB / 24.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | B | Runs well | 75.5 tok/s | 3728 ms | 43K |
| Chat | C | Runs well | 75.5 tok/s | 1398 ms | 13K |
| Coding | B | Runs well | 75.5 tok/s | 2563 ms | 25K |
| RAG | B | Runs well | 75.5 tok/s | 4660 ms | 43K |
| Reasoning | B | Runs well | 75.5 tok/s | 3029 ms | 25K |
How Ministral 3 14B (14B params) fits at each quantization level on RTX 5090 Laptop 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | D34 |
Q3_K_S | 3 | 6.9 GB | Low | D35 |
NVFP4 | 4 |
huggingface-cli download ministral-3-14b7.8 GB |
| Medium |
| D36 |
Q4_K_M | 4 | 8.5 GB | Medium | D37 |
Q5_K_M | 5 | 10.1 GB | High | D38 |
Q6_K | 6 | 11.5 GB | High | D39 |
Q8_0Best for your GPU | 8 | 15.0 GB | Very High | C43 |
F16 | 16 | 28.7 GB | Maximum | F0 |