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.

Refine

Source:

Engine
Model
Quant
Storage requirement
Feature tags

Reset

Filters: bf16-kv clear all

7 recipes · page 1 of 1

Community builds

Blackwell (2)

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

Ampere (5)

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

Qwen3.8-Flash-Next (125B MoE) 3 bpw AutoRound experts on ONE CMP 170HX card with the full 262,144-token context: 197.8/296.4/135.5 tok/s one user (structured/code/prose), 371 tok/s

2x CMP 170HX (GA100 sm_80, 64 GB/card, cmpunlocker unlock) recipe for Qwen3.8-Flash-Next from bozocentral's writeup (2026-10-07; page-reference: artifact IS the URL). Minachist INT

Qwen3.8-Flash-Next vllm NVIDIA CMP 170HX 64GB ×2 (Ampere) 199 tok/s decode

vLLM recipe for plain Qwen3.8-Flash-Next W4A16 on two STOCK CMP 170HX (Gen2 x16, no P2P) on a LOW-RAM 92 GiB host. Differentiator: the 95.4 GiB BF16 PLE table is converted LOCALLY

Qwen3.8-Flash-Next vllm NVIDIA CMP 170HX 64GB ×2 (Ampere) 101.3 tok/s decode · 2839 tok/s prefill