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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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 TP2 DFlash2 K7 hybrid drafting 393K (alexvnesta)

by alexvnesta (tensor-parallel fork: TP2, hybrid drafting, concurrent sessions, RAM tier, vision, NCCL backend)↗, Flun (original 2-card layer-split server + recipe this fork starts from)↗, turboderp (ExLlamaV3 engine + GLM-5.3-Flash-exl3 checkpoint + GLM-5.3 TP + vision tower support in engine)↗, incoai (GLM-5.3-Flash-DFlash2 BF16 drafter, CC BY-NC-ND 4.0)↗, 0xSero (k_hcfuse fused hyper-connection kernels, via Flun's repo)↗, Morrowmake (content-verified P2P check idea + benchmark prompt style)↗, bayley + arvkmr (fault probe idea + router-precision findings, vllm-170hx-glm5)↗, Z.ai (GLM-5.3-Flash base model)↗ · listed by localai-recipes

Tensor-parallel successor to Flun's 2x CMP 170HX layer-split recipe: ExLlamaV3 TP2 over both 64 GB cards with a 655,360-token Q8 KV pool (392,960-token request cap), DFlash2 K7 spe

GLM-5.3-Flash exllamav3 NVIDIA CMP 170HX 64GB ×2 (Ampere) 123.6 tok/s decode · 1316 tok/s prefill