Qwen 3 14B needs ~14.3 GB VRAM. NVIDIA L4 24GB has 24.0 GB. With Q4_K_M quantization, expect ~28 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
Runs well
Decode
28.2 tok/s
TTFT
6859 ms
Safe context
80K
Memory
14.3 GB / 24.0 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 | 28.2 tok/s | 3742 ms | 80K |
| Coding | S | Runs well | 28.2 tok/s | 6859 ms | 80K |
| Agentic Coding | S | Runs well | 28.2 tok/s | 9977 ms | 80K |
| Reasoning | S | Runs well | 28.2 tok/s | 8107 ms | 80K |
| RAG | S | Runs well | 28.2 tok/s | 12472 ms | 80K |
How Qwen 3 14B (14B params) fits at each quantization level on NVIDIA L4 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | S86 |
Q3_K_S | 3 | 6.9 GB | Low | S87 |
NVFP4 | 4 | 7.8 GB | Medium | S88 |
Q4_K_M | 4 | 8.5 GB | Medium | S88 |
Q5_K_M | 5 | 10.1 GB | High | S89 |
Q6_K | 6 | 11.5 GB | High | S90 |
Q8_0Best for your GPU | 8 | 15.0 GB | Very High | S91 |
F16 | 16 | 28.7 GB | Maximum | F0 |
Copy-paste commands to run Qwen 3 14B on your machine.
Run
ollama run qwen3Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 21.2 tok/s | |
| Qwen 3.5 27B | 27B | S | 8.9 tok/s | |
| Qwen 3.6 27B | 27B | S | 6.2 tok/s | |
| Qwen 3.6 35B A3B | 35B | A | 13.6 tok/s | |
| Qwen3-VL 30B A3B Instruct | 30B | S | 30.5 tok/s |
Yes, NVIDIA L4 24GB can run Qwen 3 14B with a S grade (Runs well). Expected decode speed: 28.2 tok/s.
Qwen 3 14B (14B parameters) requires approximately 14.3 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 L4 24GB, Qwen 3 14B achieves approximately 28.2 tokens per second decode speed with a time-to-first-token of 6859ms using Q4_K_M quantization.
For coding workloads, Qwen 3 14B on NVIDIA L4 24GB receives a S grade with 28.2 tok/s and 80K context.
On NVIDIA L4 24GB, Qwen 3 14B can safely use up to 80K 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-l4-24gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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