learned-4bit-quantization

Compress LLM weights to 4-bit precision using learned per-row lookup tables that minimize output activation error, achieving better accuracy than fixed formats (int4, fp4, nf4) while maintaining inference speed.

Independent GitHub snapshot · Automated classification · Original documentation governs