E5 Large
by Microsoft
Text embedding model with strong performance on retrieval tasks.
Quick Facts
- Model Size
- 335M
- Context Length
- N/A
- Release Date
- Dec 2022
- License
- MIT
- Provider
- Microsoft
- KYI Score
- 8.7/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 335M
- License
- MIT
- Pricing
- free
- Release Date
- December 15, 2022
- Category
- llm
Key Features
Pros & Cons
Pros
- ✓Good performance
- ✓Fast
- ✓MIT license
- ✓Microsoft-backed
Cons
- !Embedding only
- !English-focused
Ideal Use Cases
Semantic search
RAG
Document retrieval
Clustering
E5 Large FAQ
What is E5 Large best used for?
E5 Large excels at Semantic search, RAG, Document retrieval. Good performance, making it ideal for production applications requiring llm capabilities.
How does E5 Large compare to other models?
E5 Large has a KYI score of 8.7/10, with 335M parameters. It offers good performance and fast. Check our comparison pages for detailed benchmarks.
What are the system requirements for E5 Large?
E5 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 E5 Large free to use?
Yes, E5 Large is free and licensed under MIT. 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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