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LuffyTheFox released a GGUF quantized version of the Qwen3.6-35B-A3B model, denoised with the Genesis algorithm to reduce tensor noise and improve instruction following, based on an uncensored aggressive variant merged with Hermes finetune data.
Qwen-3.5-Opus-GLM-27B is a 27B parameter GGUF merge combining the strengths of Qwen's reasoning, Opus's creativity, and GLM's efficiency, designed for high-performance local AI without cloud dependency.
Jackrong released Qwopus-GLM-18B-Merged-GGUF, a 64-layer frankenmerge combining two Qwen3.5-9B finetunes into an ~18B parameter model, healed with 1000-step LoRA fine-tuning to fix layer boundary issues. The model achieves 90.9% on capability benchmarks while using less than half the VRAM of Qwen 3.6-35B MoE.