bge-small-en-v1.5-onnx-Q vs nomic-embed-code

Specs, VRAM requirements and download trends — updated 1 November 2026.

Qdrant · A · Open weights
Params
—
Context
512
30d
2.0 M
mit · commercial OK
nomic-ai · B · Open weights
Params
7.1 B
Context
32,768
30d
356 K
apache-2.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification bge-small-en-v1.5-onnx-Q nomic-embed-code
Parameters — 7.1 B
Architecture BertModel Qwen2Model
Context length 512 32,768
Licence mit apache-2.0
Commercial use Allowed Allowed
Languages — —
Downloads 30d 1,964,421 356,168
Downloads all time 13.4 M 3.2 M
Quantizations on the Hub — SAFETENSORS
Gated No No
First seen on the Hub 2024-01-15 2025-03-24

Download trend

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

2.0 M356 K
bge-small-en-v1.5-onnx-Q nomic-embed-code

VRAM side by side

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

nomic-embed-code · fp16 32.7 GB / 24 GB
❌ Won’t fit

Adjacent comparisons