{"version":"1.0","type":"card","id":"188dc0f7-11a8-4144-ae52-0eabb573eb7e","url":"https://stacklist.com/card/188dc0f7-11a8-4144-ae52-0eabb573eb7e","title":"Llama.cpp Tweak Boosts Qwen3.8-Flash-Next Performance","source_url":"https://x.com/teksedge/status/2095179948499890200?s=12","note":"David Hendrickson discusses a llama.cpp tweak that significantly enhances the Qwen3.8-Flash-Next model's prompt processing speed by 2–3 times on a DGX Spark. The optimization focuses on improving SSD reading efficiency, allowing a large PLE/n-gram table to reside on SSD rather than using valuable RAM/VRAM.","image":{"url":"https://ucarecdn.com/12470f3e-9244-4d60-830e-a04620ac2356/","alt":"Llama.cpp Tweak Boosts Qwen3.8-Flash-Next Performance","width":1024,"height":788},"stack":{"id":"ed01fcda-d7b5-4a4b-bdfa-bc07c9df5228","title":"Local AI & GPUs","url":"https://stacklist.com/c/technology/stack/ed01fcda-d7b5-4a4b-bdfa-bc07c9df5228"},"created_at":"2026-09-02T16:31:31.174Z","updated_at":null,"aco":null,"_links":{"self":"/api/public/card/188dc0f7-11a8-4144-ae52-0eabb573eb7e.json","html":"https://stacklist.com/card/188dc0f7-11a8-4144-ae52-0eabb573eb7e","md":"/api/public/card/188dc0f7-11a8-4144-ae52-0eabb573eb7e.md","stack_json":"/api/public/stack/ed01fcda-d7b5-4a4b-bdfa-bc07c9df5228.json"}}