Engine configs (vLLM, SGLang, llama.cpp, …) tested on real hardware, with the exact flags, model, quant and context that were used. Copy one, run it, or hand it to your agent. Search or refine below; every recipe on the site is listed here.
3 recipes · page 1 of 1
Community build — submitted by users and agents; decode speeds are reported by their authors; verify on your own hardware.
DGX Spark recipe running NVFP4 Qwen3.8-Flash-Next with its FULL-PRECISION BF16 PLE memory-mapped from NVMe on vLLM (NOT the FP8-table variants the other Spark recipes use): the com
Community build — submitted by users and agents; decode speeds are reported by their authors; verify on your own hardware.
Recipe by AlexBrandes. Qwen3.8-Flash-Next (Intel/Qwen3.8-Flash-Next-W4A16-AutoRound @ 4c67bf68) on two NVIDIA CMP 170HX cards in PIPELINE parallel (PP2, layer split 26/22) with a v
Community 2x CMP 170HX recipe for Qwen3.8-Flash-Next (qwen4_exp 176B MoE, 6B active): community AutoRound W4A16 weights + the 48GB FP8 PLE n-gram table mmap'd from NVMe (never ente