Splade v2 Distil measured on 8 of 194 Embeddings benchmarks8
BenchmarkByScoreRank
No benchmark matches
price not verifiedprice
22.8MTEB Korean v2
Apr 2023released
1K tokensMax input
enLanguages
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Run it yourself
estimateFits on✓ 8 GB (phone, laptop) · full quality✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
LicenceCC BY-NC-SA 4.0no commercial use
Benchmarks
in Embeddings & RetrievalFAQ
How much does Splade v2 Distil cost?›
There is no per-unit API price: price not verified.
How good is Splade v2 Distil, and what is it best at?›
#93 of 156 in Embeddings.
Is Splade v2 Distil better than Opensearch Neural Sparse Encoding v2 Distill?›
On MTEB Korean v2 · Pair Classification · Korean, Splade v2 Distil scores 50.8 vs 51.5 — about the same.
When was Splade v2 Distil released? Is there a newer version?›
Released 2023-04-18. It is the current version in its line.
Is Splade v2 Distil open source?›
Yes, the weights are open (cc-by-nc-sa-4.0 licence).
Can I run Splade v2 Distil locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Splade v2 Distil?›
Splade v2 Distil is an open-weights embeddings & retrieval model from naver, released Apr 2023.
What are the best alternatives to Splade v2 Distil?›
Qwen 3 Embedding 8B (better).