multilingual-e5-large vs Giga-Embeddings-instruct

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

intfloat · A
Params
560 M
Context
512
30d
7.2 M
mit · 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 multilingual-e5-large Giga-Embeddings-instruct
Parameters 560 M 3.5 B
Architecture XLMRobertaModel GigarEmbedModel
Context length 512
Licence mit mit
Commercial use Allowed Allowed
Languages 94 2
Downloads 30d 7,173,073 695,093
Downloads all time 109.3 M 1.8 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2023-06-30 2024-12-11

Download trend

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

8.3 M413 K
multilingual-e5-large Giga-Embeddings-instruct

VRAM side by side

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

multilingual-e5-large · fp16 3.0 GB / 24 GB
✅ Runs comfortably
Giga-Embeddings-instruct · fp16 16.2 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons