Phi-4 14B needs ~17.6 GB VRAM. RTX A6000 48GB has 48.0 GB. With Q4_K_M quantization, expect ~68 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
73.5 tok/s
TTFT
2635 ms
Safe context
16K
Memory
17.6 GB / 48.0 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 | A | Runs well | 68.3 tok/s | 1545 ms | 16K |
| Coding | A | Runs well | 68.3 tok/s | 2833 ms | 16K |
| Agentic Coding | A | Runs well | 68.3 tok/s | 4120 ms | 16K |
| Reasoning | A | Runs well | 68.3 tok/s | 3348 ms | 16K |
| RAG | A | Runs well | 68.3 tok/s | 5150 ms | 16K |
How Phi-4 14B (14B params) fits at each quantization level on RTX A6000 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | A73 |
Q3_K_S | 3 | 6.9 GB | Low | A74 |
NVFP4 | 4 |
Copy-paste commands to run Phi-4 14B on your machine.
Run
ollama run phi4Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 88.3 tok/s | ||
| 27B | S | 38.3 tok/s |
Yes, RTX A6000 48GB can run Phi-4 14B with a A grade (Runs well). Expected decode speed: 68.3 tok/s.
Phi-4 14B (14B parameters) requires approximately 17.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Phi-4 14B is Q4_K_M, which balances quality and memory efficiency.
On RTX A6000 48GB, Phi-4 14B achieves approximately 68.3 tokens per second decode speed with a time-to-first-token of 2833ms using Q4_K_M quantization.
For coding workloads, Phi-4 14B on RTX A6000 48GB receives a A grade with 68.3 tok/s and 16K context.
On RTX A6000 48GB, Phi-4 14B can safely use up to 16K tokens of context. The model's official context limit is 16K, 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/phi-4-14b-on-a6000-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
7.8 GB |
| Medium |
| A74 |
Q4_K_M | 4 | 8.5 GB | Medium | A74 |
Q5_K_M | 5 | 10.1 GB | High | A74 |
Q6_K | 6 | 11.5 GB | High | A75 |
Q8_0 | 8 | 15.0 GB | Very High | A76 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | A80 |
| 27B | S | 38.4 tok/s |
| 35B | S | 74.2 tok/s |
| 30B | S | 91.3 tok/s |