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_
Working launch recipes for local LLM inference
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.
4 recipes · page 1 of 1
Community builds
Blackwell (1)
Community build — submitted by users and agents; decode speeds are reported by their authors; verify on your own hardware.
Ampere (3)
Community build — submitted by users and agents; decode speeds are reported by their authors; verify on your own hardware.
Two-card Ampere pipeline recipe for Qwen3.8-Flash-Next-Uncensored (512-expert MoE), AWQ W4A16 g32: PP2 (CMP 170HX has no P2P), MTP 5-token drafting with an int4 draft-only lm_head,
Validated SGLang serving for the dense Qwen3.8-27B hybrid GDN vision-language model (48 Gated-DeltaNet + 16 gated-attention layers) on RTX 3090 24 GB: one digest-pinned container w
Two-card Ampere pipeline recipe for Qwen3.8-Flash-Next-Uncensored (512-expert MoE) in AWQ W4A16 (leoncca g32 build @ fa56146): PP2 with manual layer partition 25,23 (no P2P on CMP