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GTE-Qwen2 (Alibaba)

Alibaba general text embedding model built on Qwen2 with strong multilingual and long-context retrieval performance.

View on GitHub Official site
Embedding Models Apache 2.0 Medium setup 482 stars

Overview

Plain English

Alibaba general text embedding model built on Qwen2 with strong multilingual and long-context retrieval performance.

Technical

Alibaba general text embedding model built on Qwen2 with strong multilingual and long-context retrieval performance.

Technical scorecard

License Apache 2.0
Commercial use Yes
OpenAI-compatible API No
REST API No
Fine-tuning support No
Quantization support No
Docker available No
GUI / no-code available No
Telemetry None
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?

None

Last verified: Mar 24, 2025. Maintainer verification should be treated as directory guidance, not legal advice.

Setup & Installation

Medium

A developer can usually get this running with standard docs.

Prerequisites

Python, Docker, Bare Metal 

# Start with the official project documentation
# https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct

Hardware Requirements

RAM16 GB minimum / 32 GB recommended
Hardware tagsNVIDIA GPU (CUDA)
Model formatsSafetensors
Primary languagePython

Works Well With

RAGFlow RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs. PrivateGPT Secure document Q&A system designed for sensitive data with no internet connection required for full operation. Milvus Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search. FAISS (Meta) A library for efficient similarity search and clustering of dense vectors.
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