Phi 3 Medium 14B needs ~14.9 GB VRAM. RX 7900 XTX 24GB has 24.0 GB. With Q4_K_M quantization, expect ~87 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
87.0 tok/s
TTFT
2225 ms
Safe context
64K
Memory
14.9 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 | B | Runs well | 87.0 tok/s | 1214 ms | 64K |
| Coding | B | Runs well | 87.0 tok/s | 2225 ms | 64K |
| Agentic Coding | B | Runs well | 87.0 tok/s | 3237 ms | 64K |
| Reasoning | B | Runs well | 87.0 tok/s | 2630 ms | 64K |
| RAG | B | Runs well | 87.0 tok/s | 4046 ms | 64K |
How Phi 3 Medium 14B (14B params) fits at each quantization level on RX 7900 XTX 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | B57 |
Q3_K_S | 3 | 6.9 GB | Low | B58 |
NVFP4 | 4 |
Copy-paste commands to run Phi 3 Medium 14B on your machine.
Run
ollama run phi3:mediumYes, RX 7900 XTX 24GB can run Phi 3 Medium 14B with a B grade (Runs well). Expected decode speed: 87.0 tok/s.
Phi 3 Medium 14B (14B parameters) requires approximately 14.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Phi 3 Medium 14B is Q4_K_M, which balances quality and memory efficiency.
On RX 7900 XTX 24GB, Phi 3 Medium 14B achieves approximately 87.0 tokens per second decode speed with a time-to-first-token of 2225ms using Q4_K_M quantization.
For coding workloads, Phi 3 Medium 14B on RX 7900 XTX 24GB receives a B grade with 87.0 tok/s and 64K context.
On RX 7900 XTX 24GB, Phi 3 Medium 14B can safely use up to 64K tokens of context. The model's official context limit is 128K, 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-3-medium-14b-on-rx-7900-xtx-24gb" 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 |
| B58 |
Q4_K_M | 4 | 8.5 GB | Medium | B59 |
Q5_K_M | 5 | 10.1 GB | High | B60 |
Q6_K | 6 | 11.5 GB | High | B61 |
Q8_0Best for your GPU | 8 | 15.0 GB | Very High | B61 |
F16 | 16 | 28.7 GB | Maximum | F0 |