Phi 4 reasoning vision 15B needs ~13.4 GB VRAM. RX 9060 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~22 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
22.0 tok/s
TTFT
8787 ms
Safe context
40K
Memory
13.4 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 | C | Runs well | 22.0 tok/s | 4793 ms | 40K |
| Coding | C | Tight fit | 22.0 tok/s | 8787 ms | 40K |
| Agentic Coding | C | Tight fit | 22.0 tok/s | 12781 ms | 40K |
| Reasoning | C | Tight fit | 22.0 tok/s | 10385 ms | 40K |
| RAG | C | Tight fit | 22.0 tok/s | 15976 ms | 40K |
How Phi 4 reasoning vision 15B (15B params) fits at each quantization level on RX 9060 XT 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.9 GB | Low | C50 |
Q3_K_S | 3 | 7.4 GB | Low | C51 |
NVFP4 | 4 | 8.4 GB | Medium | C51 |
Q4_K_M | 4 | 9.2 GB | Medium | C51 |
Q5_K_M | 5 | 10.8 GB | High | C51 |
Q6_KBest for your GPU | 6 | 12.3 GB | High | C50 |
Q8_0 | 8 | 16.1 GB | Very High | F0 |
F16 | 16 | 30.7 GB | Maximum | F0 |
Copy-paste commands to run Phi 4 reasoning vision 15B on your machine.
Run
lms load hf-jamesburton--phi-4-reasoning-vision-15b-gguf && lms server startOpções de upgrade
Raises estimated decode speed by about 139%.
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
Raises estimated decode speed by about 243%.
Adds memory headroom for longer context windows and future model growth.
~$999 MSRP
Raises estimated decode speed by about 88%.
Adds memory headroom for longer context windows and future model growth.
~$1,899 MSRP
Yes, RX 9060 XT 16GB can run Phi 4 reasoning vision 15B with a C grade (Tight fit). Expected decode speed: 22.0 tok/s.
Phi 4 reasoning vision 15B (15B parameters) requires approximately 13.4 GB of memory with Q4_K_M quantization.
The recommended quantization for Phi 4 reasoning vision 15B is Q4_K_M, which balances quality and memory efficiency.
On RX 9060 XT 16GB, Phi 4 reasoning vision 15B achieves approximately 22.0 tokens per second decode speed with a time-to-first-token of 8787ms using Q4_K_M quantization.
For coding workloads, Phi 4 reasoning vision 15B on RX 9060 XT 16GB receives a C grade with 22.0 tok/s and 40K context.
On RX 9060 XT 16GB, Phi 4 reasoning vision 15B can safely use up to 40K tokens of context. The model's official context limit is —, 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/hf-jamesburton--phi-4-reasoning-vision-15b-gguf-on-rx-9060-xt-16gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: