Bge Large Zh v1.5 measured on 12 of 261 Embeddings benchmarks12
BenchmarkByScoreRank
Retrieval4
Other8
No benchmark matches
price not verifiedprice
5.4RTEB French beta
Sep 2023released
1,024Dimensions
1K tokensMax input
zhLanguages
Alternatives?
ModelScoreCostPriceWhat changes
sBetterAll Mpnet Base v2unstatedOpen+53%—$0.005Max input: 1K tokens → 0K tokensModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
sAll Mpnet Base v2unstatedOpen+53%—$0.005Max input: 1K tokens → 0K tokensModelScoreCostPriceWhat 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
LicenceMITfree for commercial use
Benchmarks
in Embeddings & RetrievalFAQ
How much does Bge Large Zh v1.5 cost?›
There is no per-unit API price: price not verified.
How good is Bge Large Zh v1.5, and what is it best at?›
#171 of 212 in Embeddings.
Is Bge Large Zh v1.5 better than Static Retrieval Mrl En v1?›
On RTEB Finnish beta · Mean over tasks · English, Bge Large Zh v1.5 scores 36.5 vs 37.4 — about the same.
When was Bge Large Zh v1.5 released? Is there a newer version?›
Released 2023-09-12. It is the current version in its line.
Is Bge Large Zh v1.5 open source?›
Yes, the weights are open (MIT licence).
Can I run Bge Large Zh v1.5 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is Bge Large Zh v1.5?›
Bge Large Zh v1.5 is an open-weights embeddings & retrieval model from BAAI, released Sep 2023.
What are the best alternatives to Bge Large Zh v1.5?›
All Mpnet Base v2 (better), Nemotron 3 Embed 8B BF16 (open weights).