Qwen 3.8 flash next is based on Qwen 4 architecture, if the announced Qwen 4 27b is also the same architecture with n-grams does it mean I can actually have faster inference on a single 3090 without tweaking much?
I wish Qwen also released dataset and method to fully train a model ourselves but it is what it is. However, I come here with my stupid question because someone can answer it better. And will the model still be an over thinker of faster inference will make up for that.
Read the full story at r/LocalLLaMA ↗
Timeline · 5 reports
- 2026-09-29 10:21 · r/LocalLLM
Qwen flash next on 12+16gb vram, and 32gb ram viable? - 2026-09-28 07:49 · r/LocalLLaMA
If you are running Qwen 3.8 Flash Next on Strix Halo, use this software for inference. It's so much faster than llama.cpp especially at high context. - 2026-09-27 20:18 · r/LocalLLM
Help me plan a Qwen 3.8 Flash Next install on a 5090 + 64gb DDR5 system - 2026-09-26 21:11 · r/huggingface
Abbiamo inserito 100 informazioni nella tabella engrammatica di Qwen 3.8 Flash Next e abbiamo creato un sito web per illustrarle. - 2026-09-26 19:54 · r/LocalLLaMA
Qwen 3.8 flash next is based on Qwen 4 architecture, if the announced Qwen 4 27b is also the same architecture with n-grams does it mean I can actually have faster inference on a single 3090 without tweaking much?