GTE Large
by Alibaba
General text embedding model with strong performance.
Quick Facts
- Model Size
- 335M
- Context Length
- N/A
- Release Date
- Aug 2023
- License
- Apache 2.0
- Provider
- Alibaba
- KYI Score
- 8.6/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 335M
- License
- Apache 2.0
- Pricing
- free
- Release Date
- August 2, 2023
- Category
- llm
Key Features
Pros & Cons
Pros
- ✓Good performance
- ✓Fast
- ✓Apache 2.0
- ✓Versatile
Cons
- !Embedding only
- !English-focused
Ideal Use Cases
Semantic search
RAG
Retrieval
Similarity
GTE Large FAQ
What is GTE Large best used for?
GTE Large excels at Semantic search, RAG, Retrieval. Good performance, making it ideal for production applications requiring llm capabilities.
How does GTE Large compare to other models?
GTE Large has a KYI score of 8.6/10, with 335M parameters. It offers good performance and fast. Check our comparison pages for detailed benchmarks.
What are the system requirements for GTE Large?
GTE Large with 335M requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is variable.
Is GTE Large free to use?
Yes, GTE Large is free and licensed under Apache 2.0. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.
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