“What’s your name?” she asked, throat tight.
Quantization is the process of reducing the numerical precision of a model's weights. Standard models use 32-bit or 16-bit floating points (FP32, FP16). Quantization drops this to 8-bit, 4-bit, or even 2-bit integers. gpt4allloraquantizedbin+repack
The keyword gpt4allloraquantizedbin+repack is likely an intermediary step. We are moving toward like GGUF (which already supports embedding LoRAs into the same file). “What’s your name