RTX 5090
Pros
- Runs Phi-3 Medium at Q4 natively
- 32 GB VRAM — adequate headroom
39 consumer GPUs can run Phi-3 Medium at Q4 natively. Precise VRAM thresholds and benchmarks below.
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llama.cpp 0.2.x · CUDA 12 · ROCm 6 · updated monthly · methodology →
This model requires aEntry GPU (8 GB VRAM)
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
Pros
Pros
Pros
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Check if your GPU can run Phi-3 Medium →
VRAM Calculator — instant compatibility check
RTX 5090
32 GB · Runs Q4 natively · Check availability
*Prices and availability may change. Some links are affiliate links.
| Quantization | VRAM needed | Disk space | Quality |
|---|---|---|---|
| FP16 (max quality) | 28 GB | 28 GB | Maximum |
| Q8 (high quality) | 14 GB | 14 GB | Near-lossless |
| Q4 (recommended) Best balance | 8 GB | 8 GB | Recommended |
| Q2 (minimum) | 4.5 GB | 4.3 GB | Quality loss |
| Developer | Microsoft |
| Parameters | 14B |
| Context window | 128,000 tokens |
| License | MIT |
| Use cases | chat, coding, reasoning, analysis |
| Released | 2024-04 |
Install with Ollama
ollama run phi3:medium Hugging Face
microsoft/Phi-3-medium-128k-instruct Phi-3 Medium requires <strong class="text-primary-container">8 GB VRAM</strong> at Q4. 39 consumer GPUs meet this threshold. Below 8 GB or 6 GB you'll hit significant offload latency.
39 Q4 native · 1 offload
Best picks by compatibility, VRAM headroom, and value — prices and availability may change.
RTX 5090
32 GB VRAM
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24 GB VRAM
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M4 Ultra
128 GB VRAM
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Phi-3 Medium needs intermediate hardware or Q4 quantization to run on consumer GPUs. With 8 GB VRAM you get the best quality. Use the VRAM calculator to see which quantization your GPU supports.
Which GPU is worth it? Real specs and benchmarks side by side.
GPUs that run Phi-3 Medium at Q4 — sorted by AI performance score.
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Similar models in the chat category with comparable VRAM footprints.
The VRAM Calculator tells you exactly which quantization your hardware can handle.
RTX 5090
Prices change daily