Qwen3-Embedding-8B vs Giga-Embeddings-instruct

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

Qwen · A
Params
7.6 B
Context
40,960
30d
2.6 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-8B Giga-Embeddings-instruct
Parameters 7.6 B 3.5 B
Architecture Qwen3ForCausalLM GigarEmbedModel
Context length 40,960
Licence apache-2.0 mit
Commercial use Allowed Allowed
Languages 2
Downloads 30d 2,575,478 695,093
Downloads all time 23.7 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)

3.4 M413 K
Qwen3-Embedding-8B Giga-Embeddings-instruct

VRAM side by side

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

Giga-Embeddings-instruct · fp16 16.2 GB / 24 GB
✅ Runs comfortably
Qwen3-Embedding-8B · fp16 18.3 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons