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Home / Models / BGE M3

BGE M3

by BAAI

9.1
KYI Score

Multi-lingual, multi-functionality, multi-granularity embedding model.

LLMMITFREE568M
Official WebsiteHugging Face

Quick Facts

Model Size
568M
Context Length
N/A
Release Date
Jan 2024
License
MIT
Provider
BAAI
KYI Score
9.1/10

Best For

→Multilingual search
→RAG
→Retrieval
→Clustering

Performance Metrics

Speed

9/10

Quality

9/10

Cost Efficiency

10/10

Specifications

Parameters
568M
License
MIT
Pricing
free
Release Date
January 30, 2024
Category
llm

Key Features

Multi-lingualDense + sparse + multi-vectorVersatileHigh quality

Pros & Cons

Pros

  • ✓Exceptional versatility
  • ✓Multilingual
  • ✓MIT license
  • ✓State-of-the-art

Cons

  • !Embedding only
  • !Larger than some alternatives

Ideal Use Cases

Multilingual search

RAG

Retrieval

Clustering

BGE M3 FAQ

What is BGE M3 best used for?

BGE M3 excels at Multilingual search, RAG, Retrieval. Exceptional versatility, making it ideal for production applications requiring llm capabilities.

How does BGE M3 compare to other models?

BGE M3 has a KYI score of 9.1/10, with 568M parameters. It offers exceptional versatility and multilingual. Check our comparison pages for detailed benchmarks.

What are the system requirements for BGE M3?

BGE M3 with 568M requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is variable.

Is BGE M3 free to use?

Yes, BGE M3 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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