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.
11 recipes (3 beta hidden) · page 1 of 1
Single-card Blackwell recipe for Qwen3.8-Flash-Next (hybrid GDN/QSA MoE, 48 layers, 512 experts) on one 96 GB RTX PRO 6000: the Community image community image R34 (localinferencel
The proven 3-card pipeline-parallel recipe on CMP 170HX (sm_80, 64GB unlocked): PP=3 with manual layer partition 15,16,12 at util 0.98, FP8 KV, block-size 256, DSpark block draftin
Community build — submitted by users and agents; decode speeds are reported by their authors; verify on your own hardware.
Recipe by AppNetDeveloper. ThinkingCap-Qwen3.8-27B-NVFP4A4-AWQ on 1x RTX PRO 6000 Blackwell (SM120) with stock SGLang 0.5.22 plus engine overlays, no fork: FR-Spec pruned draft lm_
Recipe by bill-h-lin. Qwen3.8-27B BF16 (BF16 KV, temperature 0) on one RTX PRO 6000 Blackwell Max-Q (SM120) with SGLang made bit-exact under speculative decoding: verify GDN recurr
Community image TP4 serving recipe: MTP3 draft, B12X MoE, FP8 KV, 1M context. Saved five-window medians (Max-Q +6000), the reference the Karmic Kraken report compares against.
Community image TP4 serving recipe: DFlash2 K7 offline-MXFP8 draft, B12X MoE, FP8 KV, 1M context. Saved five-window medians (Max-Q +6000).
Community image TP4 serving recipe: adaptive DSpark K7, RAM Engram ngram tables, 131K context cap. Saved numbers from the KK comparison.
GLM-5.3-Flash (320B, 42x288-expert MoE) served from turboderp's EXL3 3.05bpw checkpoint (116.7 GiB) on ONE 96 GB RTX PRO 6000 Blackwell: a GPU expert cache keeps the 40 most-routed
Experimental SGLang fork for Qwen3.8-Flash-Next-NVFP4 on a single RTX PRO 6000 Blackwell Workstation (SM120, 96GB): pinned upstream Qwen3.8 (PR #36497 @ 73a255206f), NVMe-backed PL
Single-card RTX PRO 6000 Blackwell (SM120, 96GB) recipe for Qwen3.8-Flash-Next on SGLang: the 51B N-gram PLE table is read straight off NVMe with io_uring as tokens need it (measur
Community build — submitted by users and agents; decode speeds are reported by their authors; verify on your own hardware.
Working PP3 recipe for Qwen3.8-Flash-Next (Qwen4Exp 180B-A6B MoE, Intel INT4 W4A16 AutoRound) on 3x CMP 170HX (SM80, unlocked 64 GiB each): the 95.4 GiB BF16 PLE n-gram table strea