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Text · Qwen

Qwen3.5-4B

A small Qwen model that takes text and images. Useful when the machine is a laptop rather than a server.

4.66BParameters
apache-2.0License
262,144 tokensContext
2026-02-27Opened
39Freshness 39 / 100
90Popularity 90 / 100

Freshness uses the repository open date. This record is 247 days old, opened 2026-02-27. Popularity uses 6,980,147 downloads and 1,172 likes listed by Hugging Face. Checked 2026-11-01. Neither number grades answers. Formulas.

Hugging Face reports 9.3 GB of storage for the whole repository. That figure can include several packs, so the fit table does not use it as the size of one file.

Will it fit?

Save a machine on the hardware page and this block fills in. The table already has the sizes.

PackSizeSaved machine
Weight shards summed9.3 GB weights + 3.0 GB allowance. File: 2 shard files in the repository root.Choose a machine
Q4 estimate2.6 GB weights + 3.0 GB allowance.Choose a machine
Q8 estimate4.9 GB weights + 3.0 GB allowance.Choose a machine
FP16 estimate9.3 GB weights + 3.0 GB allowance.Choose a machine

Estimate rows use the parameter count. A measured row names a file in the repository. The allowance is fixed: it stands in for context or activations, and it is not a measurement from a run.

How to run it

Vision models take images as well as text, so the allowance on the fit row is larger than a text-only model of the same parameter count. Start from the publisher repository and confirm which file is the checkpoint.

Publisher repository on Hugging Face

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This directory is assembled from public model records. Freshness is age. Popularity is downloads and likes. A fit figure is an estimate from a parameter count or from a published file size, not a run on our hardware. How the numbers are made. AI disclosure.