Qwen3-Embedding-0.6B vs Giga-Embeddings-instruct

Specs, VRAM requirements and download trends — updated 21 September 2026.

Qwen · A
Params
600 M
Context
32,768
30d
8.7 M
apache-2.0 · commercial OK
ai-sage · B
Params
3.5 B
Context
30d
695 K
mit · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen3-Embedding-0.6B Giga-Embeddings-instruct
Parameters 600 M 3.5 B
Architecture Qwen3ForCausalLM GigarEmbedModel
Context length 32,768
Licence apache-2.0 mit
Commercial use Allowed Allowed
Languages 2
Downloads 30d 8,652,744 695,093
Downloads all time 87.7 M 1.8 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-06-03 2024-12-11

Download trend

Daily snapshots, last 56 days (28 Jul – 21 Sep)

10.5 M413 K
Qwen3-Embedding-0.6B Giga-Embeddings-instruct

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
Giga-Embeddings-instruct · fp16 16.2 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons