Qwen 3 14B needs ~13.8 GB VRAM. NVIDIA A2 16GB has 16.0 GB. With Q4_K_M quantization, expect ~18 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Tight fit
Decode
19.7 tok/s
TTFT
9813 ms
Safe context
31K
Memory
13.8 GB / 16.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 18.3 tok/s | 5781 ms | 31K |
| Coding | S | Tight fit | 18.3 tok/s | 10598 ms | 31K |
| Agentic Coding | S | Runs with offload | 13.3 tok/s | 21162 ms | 31K |
| Reasoning | S | Tight fit | 18.3 tok/s | 12525 ms | 31K |
| RAG | S | Runs with offload | 13.3 tok/s | 26452 ms | 31K |
How Qwen 3 14B (14B params) fits at each quantization level on NVIDIA A2 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | S90 |
Q3_K_S | 3 | 6.9 GB | Low | S91 |
NVFP4 | 4 |
Copy-paste commands to run Qwen 3 14B on your machine.
Run
ollama run qwen3Yes, NVIDIA A2 16GB can run Qwen 3 14B with a S grade (Tight fit). Expected decode speed: 18.3 tok/s.
Qwen 3 14B (14B parameters) requires approximately 13.8 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3 14B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA A2 16GB, Qwen 3 14B achieves approximately 18.3 tokens per second decode speed with a time-to-first-token of 10598ms using Q4_K_M quantization.
For coding workloads, Qwen 3 14B on NVIDIA A2 16GB receives a S grade with 18.3 tok/s and 31K context.
On NVIDIA A2 16GB, Qwen 3 14B can safely use up to 31K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/qwen-3-14b-on-a2-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| Medium |
| S92 |
Q4_K_M | 4 | 8.5 GB | Medium | S92 |
Q5_K_M | 5 | 10.1 GB | High | S92 |
Q6_KBest for your GPU | 6 | 11.5 GB | High | S91 |
Q8_0 | 8 | 15.0 GB | Very High | F0 |
F16 | 16 | 28.7 GB | Maximum | F0 |