Can Phi-4 14B run on RX 7900 XT 20GB?
YES — Runs Great
Phi-4 14B needs ~14.5 GB VRAM. RX 7900 XT 20GB has 20.0 GB. With Q4_K_M quantization, expect ~56 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
60.4 tok/s
TTFT
3204 ms
Safe context
16K
Memory
14.5 GB / 20.0 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 | S | Runs well | 56.2 tok/s | 1879 ms | 16K |
| Coding | S | Runs well | 56.2 tok/s | 3444 ms | 16K |
| Agentic Coding | A | Tight fit | 56.2 tok/s | 5010 ms | 16K |
| Reasoning | S | Runs well | 56.2 tok/s | 4071 ms | 16K |
| RAG | A | Tight fit | 56.2 tok/s | 6263 ms | 16K |
Quantization options
How Phi-4 14B (14B params) fits at each quantization level on RX 7900 XT 20GB (20.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | A79 |
Q3_K_S | 3 | 6.9 GB | Low | A80 |
NVFP4 | 4 | 7.8 GB | Medium | A81 |
Q4_K_M | 4 | 8.5 GB | Medium | A81 |
Q5_K_M | 5 | 10.1 GB | High | A83 |
Q6_K | 6 | 11.5 GB | High | A82 |
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 RX 7900 XT 20GB can run
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | A | 40.7 tok/s | ||
| 27B | A | 18.3 tok/s | ||
| 27B | S | 17.3 tok/s | ||
| 30B | A | 43.3 tok/s | ||
| 24B | S | 35.2 tok/s |
Frequently asked questions
Can RX 7900 XT 20GB run Phi-4 14B?
Yes, RX 7900 XT 20GB can run Phi-4 14B with a S grade (Runs well). Expected decode speed: 56.2 tok/s.
How much VRAM does Phi-4 14B need?
Phi-4 14B (14B parameters) requires approximately 14.5 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 RX 7900 XT 20GB?
On RX 7900 XT 20GB, Phi-4 14B achieves approximately 56.2 tokens per second decode speed with a time-to-first-token of 3444ms using Q4_K_M quantization.
Can RX 7900 XT 20GB run Phi-4 14B for coding?
For coding workloads, Phi-4 14B on RX 7900 XT 20GB receives a S grade with 56.2 tok/s and 16K context.
What context window can Phi-4 14B use on RX 7900 XT 20GB?
On RX 7900 XT 20GB, 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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<iframe src="https://willitrunai.com/embed/phi-4-14b-on-rx-7900-xt-20gb" 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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