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Phi-4 Mini 3.8B

MIT

Microsoft · 3.8B · transformer-decoder

2025-02-26131K context3.8B params

Use Cases

chatcodereasoningmathsummary

Quantization Options

QuantBitsVRAMQualityStatus
Q4_K_Mrec44.5 GBGood
Q8_086.5 GBGood
F161610.5 GBExcellent

About this model

Phi-4 Mini 3.8B is Microsoft's compact reasoning model with 128K context, punching far above its weight on math and reasoning benchmarks. It continues the Phi tradition of proving that smaller, carefully trained models can compete with much larger ones. At Q4 it fits on any 8 GB GPU or Mac with minimal overhead — an excellent choice for users who want strong reasoning capabilities on resource-constrained hardware. Great for math, coding, and structured tasks.

Benchmarks

70.0
mmlu