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Home / Models / GTE Large

GTE Large

by Alibaba

8.6
KYI Score

General text embedding model with strong performance.

LLMApache 2.0FREE335M
Official WebsiteHugging Face

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

→Semantic search
→RAG
→Retrieval
→Similarity

Performance Metrics

Speed

9/10

Quality

8/10

Cost Efficiency

10/10

Specifications

Parameters
335M
License
Apache 2.0
Pricing
free
Release Date
August 2, 2023
Category
llm

Key Features

High qualityFastGeneral purposeEfficient

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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