Phi-3.5 Mini 3.8B hardware requirements

3.82B parameters. Needs about 6.1 GB at Q4_K_M with 8K context. Model card.

Memory needed at each quantization

QuantQuality8K context32K context
FP16Full quality11.5 GB21.1 GB
Q8_0Near-lossless7.9 GB17.5 GB
Q6_KExcellent7 GB16.6 GB
Q5_K_MVery good6.5 GB16.2 GB
Q4_K_MGood, most popular6.1 GB15.8 GB
Q3_K_MNoticeably degraded5.7 GB15.4 GB
Q2_KHeavily degraded5.3 GB14.9 GB

Run it with Ollama: ollama run phi3.5:3.8b (downloads Q4_K_M by default).

Run it in the cloud

Don't want to buy hardware? Run Phi-3.5 Mini 3.8B on a rented GPU today.

Rent a cloud GPU by the hour. No upfront cost, cancel any time.

Every GPU and Mac checked

GPURuns?Best fit
NVIDIA RTX 3060 12GBYesFP16 · ~11.5 GB · ~28 tok/s
NVIDIA RTX 3070YesQ8_0 · ~7.9 GB · ~66 tok/s
NVIDIA RTX 3080 10GBYesQ8_0 · ~7.9 GB · ~112 tok/s
NVIDIA RTX 3090YesFP16 · ~11.5 GB · ~74 tok/s
NVIDIA RTX 4060YesQ8_0 · ~7.9 GB · ~40 tok/s
NVIDIA RTX 4060 Ti 16GBYesFP16 · ~11.5 GB · ~23 tok/s
NVIDIA RTX 5060 Ti 16GBYesFP16 · ~11.5 GB · ~35 tok/s
NVIDIA RTX 4070YesFP16 · ~11.5 GB · ~40 tok/s
NVIDIA RTX 4070 Ti SuperYesFP16 · ~11.5 GB · ~53 tok/s
NVIDIA RTX 4080YesFP16 · ~11.5 GB · ~56 tok/s
NVIDIA RTX 4090YesFP16 · ~11.5 GB · ~79 tok/s
NVIDIA RTX 5070YesFP16 · ~11.5 GB · ~53 tok/s
NVIDIA RTX 5070 TiYesFP16 · ~11.5 GB · ~70 tok/s
NVIDIA RTX 5080YesFP16 · ~11.5 GB · ~75 tok/s
NVIDIA RTX 5090YesFP16 · ~11.5 GB · ~141 tok/s
AMD Radeon RX 7800 XTYesFP16 · ~11.5 GB · ~49 tok/s
AMD Radeon RX 7900 XTXYesFP16 · ~11.5 GB · ~75 tok/s
Apple M4 (16GB)YesQ8_0 · ~7.9 GB · ~18 tok/s
Apple M1 (16GB)YesQ8_0 · ~7.9 GB · ~10 tok/s
Apple M2 Pro (32GB)YesFP16 · ~11.5 GB · ~16 tok/s
Apple M3 Max (64GB)YesFP16 · ~11.5 GB · ~31 tok/s
Apple M4 Pro (48GB)YesFP16 · ~11.5 GB · ~21 tok/s
Apple M4 Max (128GB)YesFP16 · ~11.5 GB · ~43 tok/s
Apple M2 Ultra (192GB)YesFP16 · ~11.5 GB · ~63 tok/s