Model dossier

Thenlper: GTE-Base

The gte-base embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, delivering efficient and effective semantic embeddings optimized for textual similarity, semantic search, and clustering applications.

Context8,192
Max outputn/a
Pricing viewTVP price

Thenlper: GTE-Base

Model ID
thenlper/gte-base
Canonical slug
thenlper/gte-base-20251117
Knowledge cutoff
n/a
Created
11/18/2025
textembeddingsstructured
text->embeddingsembeddingstext
Context8,192
Max outputn/a
TokenizerOther