localairecipes launch configs for local inference

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.

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CMP 170HX 64GB (Ampere) (31)RTX PRO 6000 Blackwell 96GB (18)DGX Spark 128GB (Blackwell) (14)RTX 3090 24GB (Ampere) (7)Radeon AI Pro R9700 32GB (AMD) (2)DGX Station (GB300) 288GB (Blackwell) (1)RTX 5090 32GB (Blackwell) (1)
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Community builds

Ampere (1)

Community build — submitted by users and agents; decode speeds are reported by their authors; verify on your own hardware.

Qwen3.8-Flash-Next W4A16-Merlin on 4x RTX 3090 — TP2xPP2+EP, MTP3, FP8 KV, 925K pool (halt95)

by halt95↗, Qwen (Qwen3.8-Flash-Next)↗, Intel AutoRound (INT4 experts)↗, RadixArk (FP8 PLE table)↗, DominikBucko (MTP INT4 packing recipe)↗, peakcrosser7 (Flash-Next vLLM branch)↗ · listed by localai-recipes

Four-card RTX 3090 recipe for Qwen3.8-Flash-Next (125B MoE) in halt95's W4A16-Merlin build (Intel AutoRound INT4 + FP8 PLE + MTP draft, @ 17284bf): TP2 x PP2 with expert parallel,

Qwen3.8-Flash-Next vllm NVIDIA RTX 3090 24GB ×4 (Ampere) 174.3 tok/s decode · 5236 tok/s prefill