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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Filters: radeon-ai-pro-r9700 dgx-spark dgx-spark-x3 code clear all

11 recipes · page 1 of 1

Community builds

Blackwell (10)

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

Qwen3.8-Flash-Next (~180B multimodal MoE, NVFP4) on one NVIDIA DGX Spark (GB10, 121 GiB unified memory) with a pinned vLLM nightly image + 14 provenance-tracked patches (patch --fu

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

Qwen3.8-Flash-Next vllm NVIDIA DGX Spark 128GB ×1 (Blackwell) 44.2 tok/s decode · 2055.2 tok/s prefill

AMD (1)

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

Qwen3.8-27B on a single AMD Radeon AI PRO R9700 (RDNA4 gfx1201, 32 GB) under Windows 11 + WSL2: vLLM radiance 0.9.3 fork pinned by image digest with AMD's official Quark AWQ-MXFP4

Qwen3.8-27B vllm AMD Radeon AI Pro R9700 32GB ×1 115 tok/s decode · 2762 tok/s prefill