Home · Models · Text

Text · Qwen

Qwen3-VL-8B-Instruct

An 8B Qwen instruct model for image and text inputs. The publisher repository is the source for which files to download.

8.77BParameters
apache-2.0License
262,144 tokensContext
2025-10-11Opened
23Freshness 23 / 100
90Popularity 90 / 100

Freshness uses the repository open date. This record is 386 days old, opened 2025-10-11. Popularity uses 6,863,911 downloads and 1,233 likes listed by Hugging Face. Checked 2026-11-01. Neither number grades answers. Formulas.

Hugging Face reports 17.5 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 summed17.5 GB weights + 3.5 GB allowance. File: 4 shard files in the repository root.Choose a machine
Q4 estimate4.8 GB weights + 3.5 GB allowance.Choose a machine
Q8 estimate9.2 GB weights + 3.5 GB allowance.Choose a machine
FP16 estimate17.5 GB weights + 3.5 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

Others in Text

Qwen3.8-27B · Qwen

gemma-4-31B-it · google

bge-m3 · BAAI

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.