Complete guide to running BGE-M3 (0.568B parameters) locally on your own hardware. This guide covers VRAM requirements at every quantization level (Q4_K_M, Q5_K_M, Q6_K, Q8_0, FP16), compatible GPUs, expected inference speed in tokens per second, and recommended Ollama settings.
BGE-M3 is one of the most popular open-source LLMs with 3,200,000 HuggingFace downloads. Use the full BGE-M3 model page for detailed benchmarks, quantization comparison, and run commands.