Your favorite fastest abliterated/safety removed 3.6 and 3.8 27b?

Reddit r/LocalLLaMA Models

Summary

A Reddit user asks for recommendations on the fastest abliterated variants of Qwen 3.6 and 3.8 27B models for low-thinking tasks, comparing them and sharing their hardware setup.

Not written by AI all mistakes mine. I saw people on the subreddit saying that 3.6 works better without thinking. It made me want to know for certain about which is better, 3.6 or 3.8 for low thinking tasks. I only use abliterated models (safety removed) because it makes the model better at a lot of what I need. I want to compare abliterated Qwen 3.6 27b and abliterated Qwen 3.8 27b on some instruction following benchmarks with thinking off. I was just curious about your personal favorite safety removed/fine-tuned variants for these 27bs, as I know that there can be some major variation and some junky quants out there. Does anyone have some favorite and fast 3.6 and 3.8 models? My specs: I have 24GB VRAM (NVIDIA Geforce RTX 5090 Laptop) and I do not want to offload, so some quant required. I have tried a few different models, but they are all a little slow. Some MTP variations for 3.6 for example ends up being around the same speed as non MTP for me for some reason. I am pretty sure my card is NVFP4 enabled also, but I'm not certain I've seen the results from that either... Based on some redditors comment, this is what I use for my abliterated 3.8 27b currently: Huihui-Qwen3.8-27B-abliterated-NVFP4-GGUF
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