Can I run Phi-4 14B?

Phi-4 14B is Microsoft's small reasoning model, aimed at people who want stronger logic and structured thinking than a typical 7-8B chat model gives, without jumping to something that needs a workstation. At 14.7B parameters it lands around 8.9 GB at a 4-bit quant, so it does not fit on a plain 8 GB card with headroom to spare; the 16 GB minimum RAM figure is the honest floor. A 12 GB RTX 3060, a 16 GB Apple Silicon Mac, or any GPU with room past 9 GB is the natural home. Drop to the 2-bit build near 6.2 GB only if you are squeezed.

In daily use it feels deliberate rather than snappy, which suits its reasoning bent. On a 12 GB RTX 3060 expect around 34 tokens per second at 4-bit, comfortable for chat and step-by-step problems; an RTX 4090 pushes that to roughly 96, and an M-series Max sits near 39. The context window is the real constraint here: at 16K it is modest by current standards, and even filling 8K pushes total memory to about 10.3 GB. Keep working context lean and you stay well inside a 12 GB card.

Against Qwen 3 14B, a near-identical size with the same chat-and-reasoning focus, Phi-4 generally trades broad world knowledge for tight, well-structured reasoning on the kinds of math and logic prompts Microsoft tuned it for; Qwen tends to feel more versatile across open-ended tasks. If you want something lighter, Phi-4 Mini 3.8B is the same family at a fraction of the footprint. Phi-4's standout trait is punching above its parameter count on structured reasoning, and the MIT license is the easy part: freely usable, commercial work included, no provider strings attached.