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.

DeepSeek-V4.1-Flash-1017 Engram-NVMe TP4/PP4 4x CMP 170HX

by GNmac-lab / greencandle (recipe, patches, measurements)↗, CurtisAccelerate - TP4 hybrid-checkpoint recipe + tensor-core EXL3 MoE port↗, zebgop-ops - dsv41reap-pp sm_80 sparse attention, PP shadow KV, DSpark V1, Engram row store↗, vcruz305 - vllm-exl3 (AGPL-3.0-only)↗, LibertAI - EXL3 2.9-bpw quantization (MIT)↗, DeepSeek - DeepSeek-V4.1-Flash-1017 base model (MIT)↗, kaka86mm - dsv41-flash-pp4-170hx (watched sibling)↗, Morrowmake - CMP 170HX recipe format, P2P work, tensor-core MoE kernels↗, Mia-AiLab - decode benchmark protocol + prompts (used as data)↗, FlashInfer - PCIe IPC all-reduce↗ · listed by localai-recipes

DeepSeek-V4.1-Flash-1017 (748B MoE) on four CMP 170HX cards power-capped at 180 W, with the model's 189 GiB Engram n-gram tables streamed from NVMe on demand. Recipe 1.2.0 (author

DeepSeek-V4.1-Flash-1017 TP+PP vllm +2