Overview
Description
Get top-ranked text embeddings for search, retrieval, and similarity tasks. This model ranks No.1 on the MTEB benchmark for both English and Chinese, making it one of the most accurate embedding models available. It supports multilingual text with up to 32K input tokens and can be used for semantic search, document retrieval, and classification.
Technical scorecard
License
Apache-2.0
Commercial use
Yes
OpenAI-compatible API
No
REST API
Yes
Fine-tuning support
Yes
Quantization support
No
Docker available
No
GUI / no-code available
No
Telemetry
Unknown
Offline after setup
Yes
Data & Privacy
Does it send data online?
After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.
Does it store history?
Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.
License checks?
Commercial use is marked as allowed or likely allowed by the listed license.
Telemetry?
Unknown
Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.
Setup & Installation
A developer can usually get this running with standard docs.
# Start with the official project repository
# https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instructHardware Requirements
Works Well With