AI is happening. The future is updating.bge-m3-mlx-fp16
BGE-M3 is a versatile embedding model capable of: - Dense retrieval - Sparse retrieval - Multi-vector (ColBERT) retrieval Tested on macOS with Apple Silicon: - Successfully generates 1024-dimensional embeddings - Supports multilingual text (English, Chinese, Japanese, Korean, etc.) - Compatible with oMLX embedding endpoint This model was converted from the original BAAI/bge-m3 using: - mlx-embeddings conversion tool - FP16 precision for balanced size and quality
BGE-M3 is a versatile embedding model capable of: - Dense retrieval - Sparse retrieval - Multi-vector (ColBERT) retrieval Tested on macOS with Apple Silicon: - Successfully generates 1024-dimensional embeddings - Supports multilingual text (English, Chinese, Japanese, Korean, etc.) - Compatible with oMLX embedding endpoint This model was converted from the original BAAI/bge-m3 using: - mlx-embeddings conversion tool - FP16 precision for balanced size and quality