How much RAM does DeepSeek-V3.2 need?

DeepSeek-V3.2 needs about 415 GB of memory at Q4_K_M quantization with 4K context. The download itself is 404 GB; the extra covers the context cache and runtime overhead.

Can I run DeepSeek-V3.2 on a laptop?

Not on typical consumer hardware. DeepSeek-V3.2 needs 415 GB, which is beyond a normal laptop or desktop.

DeepSeek-V3.2: hardware requirements

DeepSeek-V3.2 needs about 415 GB of memory at Q4 quantization — a 404 GB download plus room for context and overhead. That is beyond consumer hardware; use it through an API instead.

Parameters

685B

Tier

Server only

Licence

See model card

Released

2025-09-29

Will it run on your machine?

8GB RAMNot enough memory 16GB RAMNot enough memory 24GB RAMNot enough memory 32GB RAMNot enough memory 64GB RAMNot enough memory 128GB RAMNot enough memory 8GB VRAMNot enough memory 12GB VRAMNot enough memory 16GB VRAMNot enough memory 24GB VRAMNot enough memory 32GB VRAMNot enough memory

Download sizes by quantization

Lower quantization means a smaller file and less memory, at some cost to quality. Q4_K_M is the usual starting point. What is this?

Quant	Download	RAM @ 4K	RAM @ 32K	Source
Q4_K_Mrecommended	404 GB	415 GB	465 GB	measured
Q5_K_M	475 GB	486 GB	536 GB	measured
Q6_K	551 GB	561 GB	611 GB	measured
Q8_0	713 GB	724 GB	774 GB	measured

“Measured” sizes are read from published GGUF files (DevQuasar/deepseek-ai.DeepSeek-V3.2-GGUF). “Estimated” sizes are derived from the parameter count and are typically within a few percent. The RAM columns add the context cache and runtime overhead to the download size.

Other sizes of DeepSeek-V3.2-Exp

DeepSeek-V3.2-Exp685B · 700 GB DeepSeek-V3.2-Speciale685B · 700 GB

Model card on HuggingFace →API specs & pricing →Verified 2026-09-13Tracked for 12 months after release