ExTernD: Ternary LLM decomposition matches q4km accuracy with more VRAM

ExTernD decomposes each weight matrix into ternary factors, achieving accuracy similar to q4km post-training quantization while being fully ternary and requiring no quantization-aware training. The trade-off is slightly higher VRAM usage compared to q4km.