How much RAM does Ling-3.1-flash-1019 need?

Ling-3.1-flash-1019 needs about 587 GB of memory at Published quantization with 4K context. The download itself is 574 GB; the extra covers the context cache and a runtime allowance.

Can I run Ling-3.1-flash-1019 on a laptop?

Not on typical consumer hardware. Ling-3.1-flash-1019 needs 587 GB, which is beyond a normal laptop or desktop.

Ling-3.1-flash-1019: hardware requirements

Ling-3.1-flash-1019 needs about 587 GB of memory at Published quantization: a 574 GB download plus room for context and a runtime allowance. That is beyond consumer hardware; use it through an API instead.

Parameters

572B

Tier

Server only

Licence

See model card

Released

2026-10-02

This is a mixture-of-experts model. Only a fraction of its 572B parameters are used for each token, so it runs faster than its size suggests, but all of it still has to fit in memory. The speed is that of a small model; the memory requirement is that of a large one. More on this →

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
Published	574 GB	587 GB	654 GB	inclusionAI/Ling-3.1-flash-1019

Download sizes are measured from the published files named in the Source column. The RAM columns add the context cache, calculated from the model's configuration, and a runtime allowance of 10% of the download (at least 0.5GB, at most 3GB).

Model card on HuggingFace →API specs & pricing →Verified 2026-10-28Listed for 120 days after release