Can Phi-4 14B run on RTX PRO 4000 Blackwell 24GB?
YES — Runs Great
Phi-4 14B needs ~15.2 GB VRAM. RTX PRO 4000 Blackwell 24GB has 24.0 GB. With Q4_K_M quantization, expect ~71 tok/s.
Operating mode
Choose the run profile you care about
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
71.1 tok/s
TTFT
2725 ms
Safe context
16K
Memory
15.2 GB / 24.0 GB
Memory breakdown
See how fast it feels
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 71.1 tok/s | 1486 ms | 16K |
| Coding | S | Runs well | 71.1 tok/s | 2725 ms | 16K |
| Agentic Coding | S | Runs well | 71.1 tok/s | 3963 ms | 16K |
| Reasoning | S | Runs well | 71.1 tok/s | 3220 ms | 16K |
| RAG | S | Runs well | 71.1 tok/s | 4954 ms | 16K |
Quantization options
How Phi-4 14B (14B params) fits at each quantization level on RTX PRO 4000 Blackwell 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | A77 |
Q3_K_S | 3 | 6.9 GB | Low | A78 |
NVFP4 | 4 | 7.8 GB | Medium | A79 |
Q4_K_M | 4 | 8.5 GB | Medium | A79 |
Q5_K_M | 5 | 10.1 GB | High | A80 |
Q6_K | 6 | 11.5 GB | High | A81 |
Q8_0Best for your GPU | 8 | 15.0 GB | Very High | A82 |
F16 | 16 | 28.7 GB | Maximum | F0 |
Get started
Copy-paste commands to run Phi-4 14B on your machine.
Run
ollama run phi4Your hardware
More models your RTX PRO 4000 Blackwell 24GB can run
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 85.4 tok/s | ||
| 27B | S | 37 tok/s | ||
| 27B | S | 37.1 tok/s | ||
| 30B | S | 88.3 tok/s | ||
| 35B | A | 49.1 tok/s |
Frequently asked questions
Can RTX PRO 4000 Blackwell 24GB run Phi-4 14B?
Yes, RTX PRO 4000 Blackwell 24GB can run Phi-4 14B with a S grade (Runs well). Expected decode speed: 71.1 tok/s.
How much VRAM does Phi-4 14B need?
Phi-4 14B (14B parameters) requires approximately 15.2 GB of memory with Q4_K_M quantization.
What is the best quantization for Phi-4 14B?
The recommended quantization for Phi-4 14B is Q4_K_M, which balances quality and memory efficiency.
What speed will Phi-4 14B run at on RTX PRO 4000 Blackwell 24GB?
On RTX PRO 4000 Blackwell 24GB, Phi-4 14B achieves approximately 71.1 tokens per second decode speed with a time-to-first-token of 2725ms using Q4_K_M quantization.
Can RTX PRO 4000 Blackwell 24GB run Phi-4 14B for coding?
For coding workloads, Phi-4 14B on RTX PRO 4000 Blackwell 24GB receives a S grade with 71.1 tok/s and 16K context.
What context window can Phi-4 14B use on RTX PRO 4000 Blackwell 24GB?
On RTX PRO 4000 Blackwell 24GB, 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.
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