ModelLLMsv2.0

GTE-Qwen2

by Alibaba Cloud · open-source · Last verified 2026-03-17

Alibaba's general text embedding model built on Qwen2, offering excellent multilingual performance with extended context support. Achieves top-tier results on MTEB while supporting documents up to 32K tokens.

https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct ↗

C—Below Average

Adoption: CQuality: B+Freshness: BCitations: CEngagement: F

Specifications

License: Apache 2.0
Pricing: open-source
Capabilities: embedding, semantic-search, multilingual-embedding, long-context-embedding, text-similarity
Integrations: huggingface, langchain, sentence-transformers, ollama
Use Cases: multilingual-search, long-document-retrieval, semantic-similarity, rag-retrieval
API Available: No
Parameters: 7B
Context Window: 32K tokens
Modalities: text
Training Cutoff: Early 2024
Tags: embedding, open-source, alibaba, multilingual, long-context
Added: 2026-03-17
Completeness: 90%

Index Score

46.05

Adoption

Quality

Freshness

Citations

Engagement

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