Phi 4 reasoning vision 15B needs ~25.2 GB VRAM. NVIDIA DGX Spark 128GB has 108.8 GB. With Q4_K_M quantization, expect ~18 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
17.9 tok/s
TTFT
10815 ms
Safe context
777K
Memory
25.2 GB / 108.8 GB
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 17.9 tok/s | 5899 ms | 777K |
| Coding | C | Runs well | 17.9 tok/s | 10815 ms | 777K |
| Agentic Coding | C | Runs well | 17.9 tok/s | 15730 ms | 777K |
| Reasoning | C | Runs well | 17.9 tok/s | 12781 ms | 777K |
| RAG | C | Runs well | 17.9 tok/s | 19663 ms | 777K |
How Phi 4 reasoning vision 15B (15B params) fits at each quantization level on NVIDIA DGX Spark 128GB (92.2 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.9 GB | Low | D39 |
Q3_K_S | 3 | 7.4 GB | Low | D39 |
NVFP4 | 4 | 8.4 GB | Medium | D39 |
Q4_K_M | 4 | 9.2 GB | Medium | D39 |
Q5_K_M | 5 | 10.8 GB | High | D40 |
Q6_K | 6 | 12.3 GB | High | D40 |
Q8_0 | 8 | 16.1 GB | Very High | C40 |
F16Best for your GPU | 16 | 30.7 GB | Maximum | C42 |
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 startUpgrade options
NVIDIA H200 141GBBudget pickRaises estimated decode speed by about 1073%.
Adds memory headroom for longer context windows and future model growth.
~$30,000 MSRP
NVIDIA H200 PCIe 141GBBest valueRaises estimated decode speed by about 1073%.
Adds memory headroom for longer context windows and future model growth.
~$30,000 MSRP
NVIDIA B200 180GBNVIDIA upgradeRaises estimated decode speed by about 1073%.
Adds memory headroom for longer context windows and future model growth.
~$30,000 MSRP
Yes, NVIDIA DGX Spark 128GB can run Phi 4 reasoning vision 15B with a C grade (Runs well). Expected decode speed: 17.9 tok/s.
Phi 4 reasoning vision 15B (15B parameters) requires approximately 25.2 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 NVIDIA DGX Spark 128GB, Phi 4 reasoning vision 15B achieves approximately 17.9 tokens per second decode speed with a time-to-first-token of 10815ms using Q4_K_M quantization.
For coding workloads, Phi 4 reasoning vision 15B on NVIDIA DGX Spark 128GB receives a C grade with 17.9 tok/s and 777K context.
On NVIDIA DGX Spark 128GB, Phi 4 reasoning vision 15B can safely use up to 777K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Not always. NVIDIA DGX Spark 128GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.
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