Run Phi-4 on-premises
○ Memory-fit arithmetic — checkable math, not a benchmark
Phi-4 is Microsoft's 14-billion-parameter model under the permissive MIT license, known for strong math and reasoning relative to its size. Its tiny memory footprint makes it a natural choice for multi-model machines and high concurrency.
Here is the arithmetic against a machine with 128 GB of memory.
Memory fit in 128 GB
| Parameters | 14B (dense) |
|---|---|
| 4-bit weights | ~8 GB |
| Reference memory | 128 GB (one machine) |
| Left for context + other models | roughly 110 GB |
| Fits in 128 GB | yes — many can co-reside |
At ~8 GB Phi-4 barely dents 128 GB — you can run several instances or pair it with much larger models on the same machine.
What it serves well
- Math, logic, and structured-reasoning tasks at low cost.
- High-concurrency serving and multi-model deployments.
- A permissive-licensed workhorse for extraction, routing, and tools.
Honest limits
- Memory arithmetic, not a benchmark.
- A 14B model is not a flagship — for the broadest general knowledge we would route to a larger model, which the same 128 GB can also hold.
Frequently asked questions
How much memory does Phi-4 take?
About 8 GB at 4-bit — roughly 110 GB of the 128 GB stays free for context and other models.
License?
MIT — permissive and commercial-friendly.
What is it good at?
Math and structured reasoning relative to its size; we test it against your specific tasks in the assessment.
Find out which model fits your work
An AI diagnostic maps your processes, classes what is sensitive and sizes the model and the hardware against your real tasks.