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: 170hx rtx-3090 170hx-x4 dgx-spark-x3 vision clear all

10 recipes · page 1 of 1

Ampere (2)

DeepSeek-V4.1-Flash-1017 (748B MoE) on four CMP 170HX cards (sm_80): Morrowmake's release 1.0.0 recipe serves a hybrid checkpoint - routed experts from LibertAI's EXL3 2.9-bpw expo

Community builds

Blackwell (1)

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

Ampere (7)

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

DeepSeek-V4.1-Flash-1017 (748B MoE) on 4x CMP 170HX (sm_80, 64 GB each, PCIe Gen2 x16), TP4, as a fidelity-first variant of the GNmac-lab recipe 1.2.0 @ 2ad5741ab1 with four change

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

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

XiaomiMiMo's MiMo-V2.6-Flash-RL (309B MoE, 15B active, text/image/video/audio input) on four CMP 170HX cards (sm_80) at the full 1,048,576-token context: 322/275/170 tok/s one user

Four-card Ampere recipe for full DeepSeek-V4.1-Flash (764B, native vision) on 4x CMP 170HX (sm80, Gen2 x4, no P2P — 256 GB VRAM can't hold 510 GB, so: EXL3 2bpw + fp8 KV): PP4 x TP

DeepSeek-V4.1-Flash vllm NVIDIA CMP 170HX 64GB ×4 (Ampere) 54.7 tok/s decode