Phi 4 reasoning vision 15B needs ~15.0 GB VRAM. AMD Instinct MI60 32GB has 32.0 GB. With Q4_K_M quantization, expect ~55 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
54.8 tok/s
TTFT
3530 ms
Safe context
171K
Memory
15.0 GB / 32.0 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 | 54.8 tok/s | 1926 ms | 171K |
| Coding | C | Runs well | 54.8 tok/s | 3530 ms | 171K |
| Agentic Coding | C | Runs well | 54.8 tok/s | 5135 ms | 171K |
| Reasoning | C | Runs well | 54.8 tok/s | 4172 ms | 171K |
| RAG | C | Runs well | 54.8 tok/s | 6419 ms | 171K |
How Phi 4 reasoning vision 15B (15B params) fits at each quantization level on AMD Instinct MI60 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.9 GB | Low | C44 |
Q3_K_S | 3 | 7.4 GB | Low | C45 |
NVFP4 | 4 | 8.4 GB | Medium | C45 |
Q4_K_M | 4 | 9.2 GB | Medium | C45 |
Q5_K_M | 5 | 10.8 GB | High | C46 |
Q6_K | 6 | 12.3 GB | High | C47 |
Q8_0Best for your GPU | 8 | 16.1 GB | Very High | C49 |
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 startOpciones de mejora
Yes, AMD Instinct MI60 32GB can run Phi 4 reasoning vision 15B with a C grade (Runs well). Expected decode speed: 54.8 tok/s.
Phi 4 reasoning vision 15B (15B parameters) requires approximately 15.0 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 MI60 32GB, Phi 4 reasoning vision 15B achieves approximately 54.8 tokens per second decode speed with a time-to-first-token of 3530ms using Q4_K_M quantization.
For coding workloads, Phi 4 reasoning vision 15B on AMD Instinct MI60 32GB receives a C grade with 54.8 tok/s and 171K context.
On AMD Instinct MI60 32GB, Phi 4 reasoning vision 15B can safely use up to 171K 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-mi60-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
