mxbai-embed-large-v1 vs splade-cocondenser-ensembledistil

Specs, VRAM requirements and download trends — updated 6 August 2026.

mixedbread-ai · A
Params
340 M
Context
512
30d
4.9 M
apache-2.0 · commercial OK
naver · B
Params
Context
512
30d
641 K
cc-by-nc-sa-4.0 · non-commercial

Specification comparison

Differences are highlighted; identical values are muted.

Specification mxbai-embed-large-v1 splade-cocondenser-ensembledistil
Parameters 340 M
Architecture BertModel BertForMaskedLM
Context length 512 512
Licence apache-2.0 cc-by-nc-sa-4.0
Commercial use Allowed Not allowed
Languages 1 1
Downloads 30d 4,888,095 641,371
Downloads all time 89.8 M 25.4 M
Quantizations on the Hub GGUF, SAFETENSORS
Gated No No
First seen on the Hub 2024-03-07 2022-05-09

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

5.1 M641 K
mxbai-embed-large-v1 splade-cocondenser-ensembledistil

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