GTE-Small
Lightweight 384-dim embedding model for edge and high-throughput use.
About
GTE-Small is the compact member of Alibaba DAMO Academy's GTE embedding family, with 384 embedding dimensions in a roughly 67MB package. It scored about 61.4 on MTEB, beating text-embedding-ada-002 while running comfortably on CPU and edge hardware.
Like the rest of the family it is Apache 2.0 licensed and available on Hugging Face. It fits high-throughput retrieval, on-device search, and cost-sensitive RAG deployments where embedding size and latency dominate.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 132; Trending score 68/100 from researcher assessment.