TurboQuant isn’t just for KV: Qwen3.5-27B at near-Q4_0 quality, about 10% smaller, and finally fitting on my 16GB 5060 Ti

I bought an RTX 5060 Ti 16GB around Christmas and had one goal: get a strong model running locally on my card without paying api fees. I have been testing local ai with open claw. I did not come into this with a quantization background. I only learned about llama, lmstudio and ollama two months ago. I just wanted something better than the usual Q3-class compromise (see my first post for benchmark). Many times, I like to buy 24gb card but looking at the price, I quickly turned away.