How much memory does Qwen 3.6 27B need in FP16?

Qwen 3.6 27B has 27 billion parameters. The FP16 format decides how much memory is needed to load them.

Short answer. In FP16, the weights of Qwen 3.6 27B take about 62.1 GB including the runtime margin. 8 of the 8 platforms in the catalogue have enough memory.

How is this footprint calculated?

Qwen 3.6 27B totals 27 billion parameters. The FP16 format takes 2.0 byte per parameter. The product gives the weights, to which a 15% runtime margin is added for activations and buffers. The attention cache is not included: it grows with context and concurrency.

What does the format change?

FP16 brings full precision, the quality reference.

Format	Weights in memory	Compatible platforms
FP16	62.1 GB	8
FP8	31.0 GB	8
NVFP4	15.5 GB	8
Q4	15.5 GB	8

Which platforms qualify?

See the Qwen 3.6 27B fact sheet.

How much memory for Qwen 3.6 27B in FP16?

About 62.1 GB for the weights, excluding the attention cache.

Which format should I choose for Qwen 3.6 27B?

FP16 brings full precision, the quality reference. The most precise format that fits the target machine remains the best choice.

Method

Parameter counts and memory figures come from the site fact sheets. Memory footprints are calculated, not measured: a reading on real hardware may differ depending on the engine and the exact weight format. Prices are indicative and not contractual.