Compatibility Check
Can I Run Phi-4 Reasoning 14B on NVIDIA GeForce RTX 3090?
Yes — NVIDIA GeForce RTX 3090 runs Phi-4 Reasoning 14B fully on GPU at the Q8_0 quantization.
Estimated ~63.7 tokens/sec on the Q8_0 quantization.
Full GPU
Best variant: Q8_0
Full GPU inference — 24 GB VRAM meets the 18.2 GB recommendation.
- GPU VRAM
- 24 GB
- Min VRAM (best fit)
- 16.1 GB
- Recommended VRAM
- 18.2 GB
- Estimated tok/s
- ~63.7
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Every Phi-4 Reasoning 14B quantization on NVIDIA GeForce RTX 3090
Each row runs the compatibility engine against your VRAM, RAM, and the model's requirements.
| Quantization | File Size | Min VRAM | Rec VRAM | Context | Verdict | Estimated tok/s |
|---|---|---|---|---|---|---|
| Q4_K_M | 7 GB | 8 GB | 9.1 GB | 8K / 8K | Full GPU | ~107 |
| Q5_K_M | 8.8 GB | 10.1 GB | 11.4 GB | 8K / 8K | Full GPU | ~92.5 |
| Q8_0Best fit | 14 GB | 16.1 GB | 18.2 GB | 8K / 8K | Full GPU | ~63.7 |
| FP16 | 28 GB | 32.2 GB | 36.4 GB | 8K / 8K | Hybrid CPU+GPU | ~11 |
NVIDIA GeForce RTX 3090 is solid pick for Phi-4 Reasoning 14B
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