Qwen 3 14B needs ~13.8 GB VRAM. NVIDIA T4 16GB has 16.0 GB. With Q4_K_M quantization, expect ~26 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
26.3 tok/s
TTFT
7360 ms
Safe context
31K
Memory
13.8 GB / 16.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 26.3 tok/s | 4015 ms | 31K |
| Coding | S | Tight fit | 26.3 tok/s | 7360 ms | 31K |
| Agentic Coding | S | Runs with offload | 17.2 tok/s | 16340 ms | 31K |
| Reasoning | S | Tight fit | 26.3 tok/s | 8698 ms | 31K |
| RAG | S | Runs with offload (needs ~0.1 GB host RAM) | 18.6 tok/s | 18912 ms | 31K |
How Qwen 3 14B (14B params) fits at each quantization level on NVIDIA T4 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 T4 16GB can run Qwen 3 14B with a S grade (Tight fit). Expected decode speed: 26.3 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 T4 16GB, Qwen 3 14B achieves approximately 26.3 tokens per second decode speed with a time-to-first-token of 7360ms using Q4_K_M quantization.
For coding workloads, Qwen 3 14B on NVIDIA T4 16GB receives a S grade with 26.3 tok/s and 31K context.
On NVIDIA T4 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-t4-16gb" 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 |