Model reference · open weights

splade

Embeddings naver Embeddings 1 build Non-commercial 107k dl/mo

splade is an open-weight embedding model from naver. splade-v3 (BF16) weighs 438 MB; the smallest configuration that runs it is RTX 3060 12 GB.

  • SPLADE-v3 is a feature-extraction model developed by Naver for semantic search and sparse retrieval.
  • It maps English text to a 30522-dimensional sparse vector space using a maximum sequence length of 512 tokens.
  • The model is distributed under the cc-by-nc-sa-4.0 license.

Summary of the naver/splade-v3 model card, 2026-10-01

What it is

Released bynaver
Released2024-03-08
VRAM438 MB for the weights

What it runs on

Memory and cards for splade-v3 (BF16)

438 MBweights, file size
1.1 GBruntime overhead
CardRunsMemory
RTX 3060 12 GBfits11.6 GB
RTX 4060 Ti 16 GBfits15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

How it works

How embedding models work

Your textsentence / documentEncodermaps meaningVectorlist of numbersAn embedding model turns text into a vector, so similar meanings sit close together, which is the basis of search and RAG.
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