Phi 4 reasoning vision 15B needs ~37.4 GB VRAM. AMD Instinct MI325X 256GB has 256.0 GB. With Q4_K_M quantization, expect ~210 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
210.0 tok/s
TTFT
922 ms
Safe context
2.0M
Memory
37.4 GB / 256.0 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 | 210.0 tok/s | 503 ms | 2.0M |
| Coding | C | Runs well | 210.0 tok/s | 922 ms | 2.0M |
| Agentic Coding | C | Runs well | 210.0 tok/s | 1341 ms | 2.0M |
| Reasoning | C | Runs well | 210.0 tok/s | 1090 ms | 2.0M |
| RAG | C | Runs well | 210.0 tok/s | 1676 ms | 2.0M |
How Phi 4 reasoning vision 15B (15B params) fits at each quantization level on AMD Instinct MI325X 256GB (256.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.9 GB | Low | D36 |
Q3_K_S | 3 | 7.4 GB | Low | D36 |
NVFP4 | 4 |
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 startYes, AMD Instinct MI325X 256GB can run Phi 4 reasoning vision 15B with a C grade (Runs well). Expected decode speed: 210.0 tok/s.
Phi 4 reasoning vision 15B (15B parameters) requires approximately 37.4 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 AMD Instinct MI325X 256GB, Phi 4 reasoning vision 15B achieves approximately 210.0 tokens per second decode speed with a time-to-first-token of 922ms using Q4_K_M quantization.
For coding workloads, Phi 4 reasoning vision 15B on AMD Instinct MI325X 256GB receives a C grade with 210.0 tok/s and 2.0M context.
On AMD Instinct MI325X 256GB, Phi 4 reasoning vision 15B can safely use up to 2.0M 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-instinct-mi325x-256gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
8.4 GB |
| Medium |
| D36 |
Q4_K_M | 4 | 9.2 GB | Medium | D36 |
Q5_K_M | 5 | 10.8 GB | High | D36 |
Q6_K | 6 | 12.3 GB | High | D36 |
Q8_0 | 8 | 16.1 GB | Very High | D36 |
F16Best for your GPU | 16 | 30.7 GB | Maximum | D38 |