Qwen 3.6 27B Abliterated GGUF This repository contains GGUF format quantized weights for huihui ai/Huihui Qwen3.6 27B abliterated. These files are designed for use with llama.cpp and compatible local inference engines (LM Studio, text generation webui, KoboldCPP, etc.). Model Details Base Model: Qwen 3.6 27B Variant: Abliterated (Refusal mechanisms stripped) Abliteration Notes This model has been processed to remove inherent safety filters and refusal mechanisms. It is highly compliant and will generate responses to complex, edge case, or typically restricted prompts directly from its base weights. No specialized system prompts or catalyst pre fills are required to bypass refusals. Available Quantizations File Name Format Description : : : qwen3.6 27b abliterated Q3 K M.gguf Q3 K M Smallest footprint, high perplexity loss. Best for severely RAM constrained environments. qwen3.6 27b abliterated Q4 K S.gguf Q4 K S Fast inference, slightly lower quality than Q4 K M. qwen3.6 27b abliterated Q4 K M.gguf Q4 K M Recommended. Excellent balance of performance, size, and quality. (Also available in a dedicated repo). qwen3.6 27b abliterated Q5 K M.gguf Q5 K M High quality, minimal degradatio…
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