New Qwen-27B IQ4_KS and IQ4_KS_KT Quantizations for ik_llama.cpp

Two new GGUF quantizations for Qwen-27B have been released for ik_llama.cpp, optimized for 16GB VRAM on NVIDIA GPUs. The first, Qwen3.6-27B.i1-IQ4_KS-attn_qkv-IQ4_KS.gguf, improves logical reasoning at the cost of general knowledge, with a perplexity of 7.4131. The second, Qwen3.6-27B.i1-IQ4_KS_KT-attn_qkv-IQ4_KS.gguf, applies Trellis quantization (iq4_kt) selectively to tensors with near-Gaussian distributions, achieving a perplexity of 7.4091, showing minimal performance degradation.