gte-modernbert-base is an embedding model from Alibaba's NLP team that leverages the ModernBERT architecture for superior performance on text embedding tasks. It excels at sentence similarity, semantic search, and retrieval-augmented generation applications. The model is compatible with both the Transformers library and the sentence-transformers framework.
Gte Modernbert Base is an Embeddings & retrieval project. It focuses on generating high-quality dense vector embeddings for semantic search and similarity tasks. It is built as an open-source project for developers. The project is open source (Open Source). It runs on the command line and API.
It is developed by Alibaba-NLP, and it first shipped in 2025. Among its 4 catalogued features are text embeddings, sentence similarity, and MTEB benchmark.
Summary written by a language model from the project’s public pages.
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