Qwen / feature-extraction updated 3 months ago

Qwen3-Embedding-0.6B

Name: Qwen3-Embedding-0.6B
Author: Qwen

The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3 series, it provides a comprehensive range of text embeddings and reranking models in various sizes (0.6B, 4B, and 8B). This series inherits the exceptional multilingual capabilities, long-text understanding, and reason...

Params

600 M

Context

32,768

Downloads 30d

9.8 M

Likes

1,138

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

Download history

daily snapshots · 10 days

10.5 M9.8 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	1.2 GB	1.9 GB	✅ Runs comfortably
model.safetensors (bf16, full)	bf16 + 32K ctx	1.2 GB	2.2 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: Qwen3ForCausalLM
Parameters: 600 M
Tensor type: BF16
Context length: 32,768
Vocabulary: 151,669
Layers / heads: 28 / 16
Licence: apache-2.0
First seen on the Hub: 2025-06-03
Base model: Qwen3-0.6B-Base
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

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

Base Qwen3-0.6B-Base Qwen 749 K

Compare with

bge-small-en-v1.5 72.4 M bge-large-en-v1.5 13.1 M multilingual-e5-large 7.5 M mxbai-embed-large-v1 4.9 M jina-embeddings-v3 3.2 M all-MiniLM-L6-v2 2.9 M

Appears in

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