Qwen 27B on 24GB VRAM: Backend Comparisons, Quant Choice, and Settings If you own an RTX 3090, RTX 4090, or any other 24GB VRAM card, Qwen 27B sits in an interesting spot. It is just large enough to challenge your hardware and just small enough to run locally with the right approach. The question is not whether you can run it. The question is which backend gets you the most out of your hardware, which quantization preserves the model quality you care about, and which settings actually matter versus which ones are cargo-culted forum advice. ...

Qwen3.5-4B GGUF Quants Compared: KLD Quality Loss vs. Inference Speed on Intel Lunar Lake If you’re running local LLMs on a Lunar Lake laptop, every quantization decision is a tradeoff. Pick too aggressive a quant and your Qwen3.5-4B outputs turn to mush. Pick too conservative a quant and you’re watching tokens trickle in at a speed that kills any productivity gain. This guide maps every major Qwen3.5-4B GGUF quant against its Kullback-Leibler Divergence (KLD) quality score and real-world tokens-per-second on Intel’s Core Ultra 200V (Lunar Lake) silicon, so you can make the call yourself. ...