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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2 recipes · page 1 of 1

Community builds

Ampere (2)

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

Qwen3.8-Flash-Next-Uncensored AWQ W4A16 on 2x CMP 170HX — 8 slots, PP2, MTP5 + int4 draft head, PLE-from-SSD (mannydelrio)

by mannydelrio↗, AlexBrandes (W4A16 draft lm_head patch, quantizer)↗, cmpunlocker (amoghmunikote)↗, clee/vllm-sm80↗, wtdcode (vllm-backport)↗ · listed by mannydelrio1

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,

Qwen3.8-Flash-Next vllm NVIDIA CMP 170HX 64GB ×2 (Ampere) 240.4 tok/s decode · 6964 tok/s prefill