Phi 3 Medium 14B needs ~14.1 GB VRAM. Radeon RX 7900M 16GB has 16.0 GB. With Q4_K_M quantization, expect ~43 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
Tight fit
Decode
42.8 tok/s
TTFT
4526 ms
Safe context
26K
Memory
14.1 GB / 16.0 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 | 42.8 tok/s | 2469 ms | 26K |
| Coding | B | Tight fit | 42.8 tok/s | 4526 ms | 26K |
| Agentic Coding | C | Runs with offload (needs ~0.6 GB host RAM) | 27.7 tok/s | 10150 ms | 26K |
| Reasoning | B | Tight fit | 42.8 tok/s | 5348 ms | 26K |
| RAG | C | Runs with offload (needs ~0.6 GB host RAM) | 27.7 tok/s | 12687 ms | 26K |
How Phi 3 Medium 14B (14B params) fits at each quantization level on Radeon RX 7900M 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | B60 |
Q3_K_S | 3 | 6.9 GB | Low | B62 |
NVFP4 | 4 | 7.8 GB | Medium | B63 |
Q4_K_M | 4 | 8.5 GB | Medium | B62 |
Q5_K_M | 5 | 10.1 GB | High | B62 |
Q6_KBest for your GPU | 6 | 11.5 GB | High | B62 |
Q8_0 | 8 | 15.0 GB | Very High | F0 |
F16 | 16 | 28.7 GB | Maximum | F0 |
Copy-paste commands to run Phi 3 Medium 14B on your machine.
Run
ollama run phi3:mediumOpciones de mejora
Sube la velocidad estimada de decodificación alrededor de un 41%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$899 MSRP
Sube la velocidad estimada de decodificación alrededor de un 103%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$999 MSRP
Sube la velocidad estimada de decodificación alrededor de un 135%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$11,500 MSRP
Yes, Radeon RX 7900M 16GB can run Phi 3 Medium 14B with a B grade (Tight fit). Expected decode speed: 42.8 tok/s.
Phi 3 Medium 14B (14B parameters) requires approximately 14.1 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 Radeon RX 7900M 16GB, Phi 3 Medium 14B achieves approximately 42.8 tokens per second decode speed with a time-to-first-token of 4526ms using Q4_K_M quantization.
For coding workloads, Phi 3 Medium 14B on Radeon RX 7900M 16GB receives a B grade with 42.8 tok/s and 26K context.
On Radeon RX 7900M 16GB, Phi 3 Medium 14B can safely use up to 26K 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-7900m-16gb" 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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