Instructor XL
by HKUNLP
Instruction-based embedding model for customizable representations.
Quick Facts
- Model Size
- 335M
- Context Length
- N/A
- Release Date
- Dec 2022
- License
- Apache 2.0
- Provider
- HKUNLP
- KYI Score
- 8.5/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 335M
- License
- Apache 2.0
- Pricing
- free
- Release Date
- December 21, 2022
- Category
- llm
Key Features
Pros & Cons
Pros
- ✓Highly customizable
- ✓Instruction-based
- ✓Apache 2.0
- ✓Versatile
Cons
- !Embedding only
- !Requires good instructions
Ideal Use Cases
Custom embeddings
Domain-specific search
RAG
Retrieval
Instructor XL FAQ
What is Instructor XL best used for?
Instructor XL excels at Custom embeddings, Domain-specific search, RAG. Highly customizable, making it ideal for production applications requiring llm capabilities.
How does Instructor XL compare to other models?
Instructor XL has a KYI score of 8.5/10, with 335M parameters. It offers highly customizable and instruction-based. Check our comparison pages for detailed benchmarks.
What are the system requirements for Instructor XL?
Instructor XL 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 Instructor XL free to use?
Yes, Instructor XL 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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