Three custom mixed-tensor quantizations of ukisai/Swift-Qwen3.8-27b, a fine-tune of Qwen/Qwen3.8-27B — the dense 27B multimodal model with hybrid GatedDeltaNet + Gated Attention and a Multi-Token Prediction (MTP) head. Built with llama.cpp 58367713a, using a purpose-built importance matrix and per-tensor quantization overrides. All three are designed around the 16 GB VRAM budget of consumer GPUs such as the AMD Radeon RX 9070 XT, and all keep the MTP head embedded so speculative decoding works out of the box — no second file to download or load. Both quants follow the same philosophy: protect what the model cannot afford to lose, and pay for it out of the FFN, which is two-thirds of the…