Qwen3-Embedding-0.6B vs conv-bert-base

Specs, VRAM requirements and download trends — updated 10 November 2026.

Qwen · A · Open weights
Params
600 M
Context
32,768
30d
9.1 M
apache-2.0 · commercial OK
YituTech · B · Open weights
Params
—
Context
512
30d
521 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-Embedding-0.6B conv-bert-base
Parameters 600 M —
Architecture Qwen3ForCausalLM ConvBertModel
Context length 32,768 512
Licence apache-2.0 —
Commercial use Allowed Unknown
Languages — —
Downloads 30d 9,129,136 520,890
Downloads all time 102.8 M 64.4 M
Quantizations on the Hub SAFETENSORS —
Gated No No
First seen on the Hub 2025-06-03 2022-03-02

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

9.7 M465 K
Qwen3-Embedding-0.6B conv-bert-base

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

Qwen3-Embedding-0.6B · fp16 1.9 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons