RTX 4090 24GBBudget pickB89.7 tok/s decode
~$1,599 MSRP
Can it run?
Runs well
Using Q4_K_M in vLLM
Fit status
Runs well
Decode
54.0 tok/s
TTFT
3588 ms
Safe context
21K
Memory
15.1 GB / 20.0 GB
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Agentic Coding | C | Tight fit | 58.5 tok/s | 4817 ms | 37K |
| Chat | B | Runs well | 58.5 tok/s | 1807 ms | 11K |
| Coding | B | Runs well | 54.0 tok/s | 3588 ms | 21K |
| RAG | C | Tight fit | 58.5 tok/s | 6022 ms | 37K |
| Reasoning | B | Runs well | 58.5 tok/s | 3914 ms | 21K |
How Ministral 3 14B (14B params) fits at each quantization level on RTX A4500 20GB (20.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | D35 |
Q3_K_S | 3 | 6.9 GB | Low | D37 |
NVFP4 | 4 |
huggingface-cli download ministral-3-14bUpgrade options
RTX 4090 24GBBudget pick~$1,599 MSRP
RTX 3090 Ti 24GBBest value~$1,999 MSRP
RTX 5090 Laptop 24GBBiggest leap
NVIDIA A30 24GBNVIDIA upgrade
7.8 GB |
| Medium |
| D38 |
Q4_K_M | 4 | 8.5 GB | Medium | D38 |
Q5_K_M | 5 | 10.1 GB | High | D40 |
Q6_K | 6 | 11.5 GB | High | C41 |
Q8_0Best for your GPU | 8 | 15.0 GB | Very High | C44 |
F16 | 16 | 28.7 GB | Maximum | F0 |