Phi 4 reasoning vision 15B needs ~16.9 GB VRAM. Quadro RTX 8000 48GB has 48.0 GB. With Q4_K_M quantization, expect ~51 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
50.7 tok/s
TTFT
3820 ms
Safe context
299K
Memory
16.9 GB / 48.0 GB
This setup is broadly balanced for this model.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 50.7 tok/s | 2084 ms | 299K |
| Coding | C | Runs well | 50.7 tok/s | 3820 ms | 299K |
| Agentic Coding | C | Runs well | 50.7 tok/s | 5557 ms | 299K |
| Reasoning | C | Runs well | 50.7 tok/s | 4515 ms | 299K |
| RAG | C | Runs well | 50.7 tok/s | 6946 ms | 299K |
How Phi 4 reasoning vision 15B (15B params) fits at each quantization level on Quadro RTX 8000 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.9 GB | Low | C42 |
Q3_K_S | 3 | 7.4 GB | Low | C42 |
NVFP4 | 4 | 8.4 GB | Medium | C42 |
Q4_K_M | 4 | 9.2 GB | Medium | C43 |
Q5_K_M | 5 | 10.8 GB | High | C43 |
Q6_K | 6 | 12.3 GB | High | C43 |
Q8_0 | 8 | 16.1 GB | Very High | C45 |
F16Best for your GPU | 16 | 30.7 GB | Maximum | C48 |
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
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$3,999 MSRP
Sube la velocidad estimada de decodificación alrededor de un 140%.
Añade margen de memoria para más contexto y para que el modelo envejezca mejor.
~$10,000 MSRP
Yes, Quadro RTX 8000 48GB can run Phi 4 reasoning vision 15B with a C grade (Runs well). Expected decode speed: 50.7 tok/s.
Phi 4 reasoning vision 15B (15B parameters) requires approximately 16.9 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 Quadro RTX 8000 48GB, Phi 4 reasoning vision 15B achieves approximately 50.7 tokens per second decode speed with a time-to-first-token of 3820ms using Q4_K_M quantization.
For coding workloads, Phi 4 reasoning vision 15B on Quadro RTX 8000 48GB receives a C grade with 50.7 tok/s and 299K context.
On Quadro RTX 8000 48GB, Phi 4 reasoning vision 15B can safely use up to 299K 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.
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