GTE Large EN V1.5
GTE Large EN V1.5 is Alibaba's English text embedding model from the General Text Embeddings family. It delivers strong retrieval performance on English benchmarks with a compact model size that enables fast inference and cost-efficient deployment.
GTE models are open-weight, making them popular for self-hosted embedding pipelines where data privacy and control are critical requirements.
Key Features
Strong English retrieval performance
Open-weight for self-hosted deployment
Compact model size for fast inference
1024-dimensional embeddings
Optimized for semantic similarity
Ideal Use Cases
Self-hosted embedding pipelines
English semantic search engines
Privacy-first retrieval applications
Cost-efficient document embedding at scale
Technical Specifications
| Dimensions | 1024 |
| Modality | Text → Embedding |
| Provider | Alibaba |
| Category | Embedding |
| Language | English |
| License | Open Weight |
API Usage
1 curl -X POST https://api.vincony.com/v1/chat/completions \ 2 -H "Authorization: Bearer YOUR_API_KEY" \ 3 -H "Content-Type: application/json" \ 4 -d '{ 5 "model": "alibaba/gte-large-en-v1.5", 6 "messages": [ 7 { "role": "user", "content": "Hello, GTE Large EN V1.5!" } 8 ] 9 }'
Replace YOUR_API_KEY with your Vincony API key. OpenAI-compatible endpoint — works with any OpenAI SDK.
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Frequently Asked Questions
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