Multi-lingual, multi-granularity embedding model supporting 100+ languages. Dense, sparse, and multi-vector retrieval.
Use this model
Pull with QuantumShield
quantumshield pull BAAI/bge-m3 Verify integrity
quantumshield verify BAAI/bge-m3 pip install
pip install quantumshield && quantumshield pull BAAI/bge-m3 PQC-Verified with ML-DSA-87
This model has a real FIPS 204 ML-DSA-87 (Dilithium5) signature from the platform signing authority. Signature chain includes 3 verification(s). Last verified 2026-05-08.
README.md
bge-m3
Multi-lingual, multi-granularity embedding model supporting 100+ languages. Dense, sparse, and multi-vector retrieval.
Model Details
| Framework | PyTorch |
| Parameters | 567M |
| License | MIT |
| Signature Algorithm | ML-DSA-65 |
| Source | HuggingFace |
| HF Repo | BAAI/bge-m3 |
Intended Uses
This model is registered on the QuantaMrkt quantum-safe registry. All files have been cryptographically verified using post-quantum signatures.
Quick Start
# Install the CLI pip install quantumshield # Pull the model quantumshield pull BAAI/bge-m3 # Verify file integrity quantumshield verify BAAI/bge-m3
About
Multi-lingual, multi-granularity embedding model supporting 100+ languages. Dense, sparse, and multi-vector retrieval.
Get this model
Pull with QuantumShield
quantumshield pull BAAI/bge-m3 Verify signatures
quantumshield verify BAAI/bge-m3