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.

GLM-5.3-Flash EXL3 3.05bpw on 2x CMP 170HX — DFlash2 K7 Q8 KV 384K (Flun)

by Flun (recipe, stack, profiles, drafter conversion)↗, turboderp (ExLlamaV3 engine + GLM-5.3-Flash-exl3 checkpoint)↗, incoai (GLM-5.3-Flash-DFlash2 BF16 drafter, CC BY-NC-ND 4.0)↗, 0xSero (k_hcfuse fused decode kernels)↗, MiaAI-Lab (GLM-5.3-Flash-EXL3-2x-DGX-Sparks — conversion reference)↗, Z.ai (GLM-5.3-Flash base model)↗ · listed by localai-recipes

First ExLlamaV3 serving recipe on 2x CMP 170HX: full-VRAM HBM-resident GLM-5.3-Flash EXL3 3.05bpw (~116.6 GiB across 2x64GB, no CPU/SSD tier) with DFlash2 K7 speculative decoding —

GLM-5.3-Flash exllamav3 NVIDIA CMP 170HX 64GB ×2 (Ampere) 90 tok/s decode