Compatibility Check
Can I Run Phi-4 Reasoning 14B on NVIDIA GeForce GTX 1060 3GB?
Sort of — NVIDIA GeForce GTX 1060 3GB can run Phi-4 Reasoning 14B (FP16) only by spilling layers to RAM. Generation will be slow.
Estimated ~3 tokens/sec on the FP16 quantization.
Hybrid CPU+GPU
Best variant: FP16
CPU + GPU hybrid — not enough VRAM (3 GB < 32.2 GB min), but 64 GB RAM is sufficient. Expect significantly slower inference.
- GPU VRAM
- 3 GB
- Min VRAM (best fit)
- 32.2 GB
- Recommended VRAM
- 36.4 GB
- Estimated tok/s
- ~3
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Every Phi-4 Reasoning 14B quantization on NVIDIA GeForce GTX 1060 3GB
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 | Hybrid CPU+GPU | ~8 |
| Q5_K_M | 8.8 GB | 10.1 GB | 11.4 GB | 8K / 8K | Hybrid CPU+GPU | ~7 |
| Q8_0 | 14 GB | 16.1 GB | 18.2 GB | 8K / 8K | Hybrid CPU+GPU | ~5 |
| FP16Best fit | 28 GB | 32.2 GB | 36.4 GB | 8K / 8K | Hybrid CPU+GPU | ~3 |
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