32 GB VRAM · Q4 native Amazon
RTX 5090
Prós
- Runs Phi-4 at Q4 natively
- 32 GB VRAM — adequate headroom
Local Engine Ready
Phi-4
29 consumer GPUs can run Phi-4 at Q4 natively. Precise VRAM thresholds and benchmarks below.
29 Compatible GPUs
11 with offloading
14B params
16K context
Top pick
RTX 5090 · 32 GB VRAM runs Q4 natively
Prices and availability may change · affiliate link
Javier Morales AI hardware specialist — 8 years of experience
GitHub: github.com/javier-morales-ia
llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
Execution Context
ARCHITECTURE TRANSFORMER
CONTEXT 16K TOKENS
QUANTIZATION 4-BIT GGUF
PROVIDER Microsoft
LICENSE MIT
VRAM REQUIREMENT
8.4 GB
4GB 8GB 12GB 16GB 24GB+
Hardware Decision
This model requires aMid-range GPU (16 GB VRAM)
Compatible GPUs for Phi-4
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
24 GB VRAM · Q4 native Amazon
RTX 4090
Prós
- Runs Phi-4 at Q4 natively
- 24 GB VRAM — adequate headroom
128 GB VRAM · Q4 native Amazon
M4 Ultra
Prós
- Runs Phi-4 at Q4 natively
- 128 GB VRAM — adequate headroom
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How to run this model
Check if your GPU can run Phi-4 →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
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System Requirements
GPU VRAM 8.4 GB Mid-range GPU
System RAM 16 GB
DDR4/DDR5
Storage 7 GB Q4 · SSD recommended
CPU Any modern CPU GPU required
VRAM by Quantization
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 33.6 GB | 28 GB | Maximum |
| Q8 (high quality) | 16.8 GB | 14 GB | Near-lossless |
| Q4 (recommended) Best balance | 8.4 GB | 7 GB | Recommended |
| Q2 (minimum) | 4.2 GB | 3.5 GB | Quality loss |
Model Details
| Developer | Microsoft |
| Parameters | 14B |
| Context window | 16,384 tokens |
| License | MIT |
| Use cases | chat, coding, reasoning, analysis |
| Released | 2024-12 |
Install with Ollama
ollama run phi4:14b Hugging Face
microsoft/phi-4 Technical Requirements
Can your GPU run Phi-4?
Phi-4 requires <strong class="text-primary-container">8.4 GB VRAM</strong> at Q4. 29 consumer GPUs meet this threshold. Below 8 GB or 6.4 GB you'll hit significant offload latency.
4.2GB Critical min
8.4GB Optimal Q4
16.8GB High Quality Q8
33.6GB Max FP16
Hardware Performance Matrix
29 Q4 native · 11 offload
Recommended GPUs for Phi-4
Benchmarks reais
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Baseado em dados
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
Q4 native
Check availability →
RTX 4090
24 GB VRAM
Q4 native
Check availability →
M4 Ultra
128 GB VRAM
Q4 native
Check availability →
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
Phi-4 — Compatibility guide
Phi-4 needs intermediate hardware or Q4 quantization to run on consumer GPUs. With 10 GB VRAM you get the best quality. Use the VRAM calculator to see which quantization your GPU supports.
Compare GPUs for Phi-4
Which GPU is worth it? Real specs and benchmarks side by side.
Compatible Hardware
GPUs that run Phi-4 at Q4 — sorted by AI performance score.
Benchmarks reais
Sem reviews pagas
Baseado em dados
Alguns links são links de afiliado da Amazon. Podemos receber uma comissão sem custo adicional para si. O cookie da Amazon pode durar até 24 horas após o clique.
More Practical Alternatives
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Compare This Model
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The VRAM Calculator tells you exactly which quantization your hardware can handle.
RTX 5090
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