mxbai-embed-large-v1 vs wavlm-large

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

mixedbread-ai · A · Open weights
Params
340 M
Context
512
30d
2.3 M
apache-2.0 · commercial OK
microsoft · B · Open weights
Params
—
Context
—
30d
1.4 M

Specification comparison

Differences are highlighted; identical values are muted.

Specification mxbai-embed-large-v1 wavlm-large
Parameters 340 M —
Architecture BertModel WavLMModel
Context length 512 —
Licence apache-2.0 —
Commercial use Allowed Unknown
Languages 1 1
Downloads 30d 2,306,624 1,352,896
Downloads all time 97.8 M 21.8 M
Quantizations on the Hub GGUF, SAFETENSORS —
Gated No No
First seen on the Hub 2024-03-07 2022-03-02

Download trend

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

4.3 M390 K
mxbai-embed-large-v1 wavlm-large

VRAM side by side

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

mxbai-embed-large-v1 · fp16 1.3 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons