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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Filters: radeon-ai-pro-r9700 170hx-x3 170hx-x4 chat clear all

13 recipes · page 1 of 2

Ampere (3)

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

Ampere (8)

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

DeepSeek-V4.1-Flash-1017 (the 2026-10-17 re-release checkpoint, NOT the original DeepSeek-V4.1-Flash) as a hybrid quant on the TC-MoE port: official deepseek-ai/DeepSeek-V4.1-Flash

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

Working PP3 recipe for Qwen3.8-Flash-Next (Qwen4Exp 180B-A6B MoE, Intel INT4 W4A16 AutoRound) on 3x CMP 170HX (SM80, unlocked 64 GiB each): the 95.4 GiB BF16 PLE n-gram table strea

Qwen3.8-Flash-Next vllm NVIDIA CMP 170HX 64GB ×3 (Ampere) 59.8 tok/s decode · 4690 tok/s prefill

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

AMD (1)

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

Qwen3.8-27B on a single AMD Radeon AI PRO R9700 (RDNA4 gfx1201, 32 GB) under Windows 11 + WSL2: vLLM radiance 0.9.3 fork pinned by image digest with AMD's official Quark AWQ-MXFP4

Qwen3.8-27B vllm AMD Radeon AI Pro R9700 32GB ×1 115 tok/s decode · 2762 tok/s prefill

Showing 12 of 13 recipes on this page — filter or paginate for the rest.