Qwen / sentence-similarity updated 3 months ago

Qwen3-VL-Embedding-2B

Name: Qwen3-VL-Embedding-2B
Author: Qwen

The Qwen3-VL-Embedding and Qwen3-VL-Reranker model series are the latest additions to the Qwen family, built upon the recently open-sourced and powerful Qwen3-VL foundation model. Specifically designed for multimodal information retrieval and cross-modal understanding, this suite accepts diverse inputs including text, images, screenshots, and videos, as well as inputs containing a mixture of these modalities.

Params

2.1 B

Context

—

Downloads 30d

1.4 M

Likes

438

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

1.4 M1.3 M

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	bf16	4.3 GB	5.5 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: Qwen3VLForConditionalGeneration
Parameters: 2.1 B
Tensor type: BF16
Licence: apache-2.0
First seen on the Hub: 2026-01-07
Base model: Qwen3-VL-2B-Instruct
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Base Qwen3-VL-2B-Instruct Qwen 2.2 M

Compare with

all-MiniLM-L6-v2 257.8 M paraphrase-multilingual-MiniLM-L12-v2 59.4 M bge-m3 35.0 M all-mpnet-base-v2 25.2 M paraphrase-multilingual-mpnet-base-v2 11.5 M stsb-bert-tiny-safetensors 1.7 M

Appears in

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