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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26 recipes (1 beta hidden) · page 1 of 3

Blackwell (1)

Community builds

Blackwell (5)

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

Qwen3.8-Flash-Next Uncensored NVFP4 2x DGX Spark SGLang TP2 ROCE

by ttlogan↗, PixelML/MiaAI (SM121 QSA fallback + token-0 guard patches, MIT), jpezzulli (OrcaRouter uncensored ModelOpt NVFP4 + FP8 PLE repack)↗ · listed by localai-recipes

Recipe by ttlogan. Production 2-node GB10 (ASUS GX10 / DGX Spark) cluster serve of jpezzulli/OrcaRouter-Qwen3.8-Flash-Next-Uncensored-ModelOpt-NVFP4 (OrcaRouter uncensored weights

Qwen3.8-Flash-Next sglang NVIDIA DGX Spark 128GB ×2 (Blackwell) 40.3 tok/s decode · 2936.7 tok/s prefill
Qwen3.8-Flash-Next NVFP4 1x DGX Spark vLLM 71.3 c1 (salient-data)

by Jeremy Newhouse / salient-data (recipe, patches, measurements)↗, tonyd2wild (bench_categories.py @ 6ad1c8f + comparator stack/numbers)↗, NVIDIA (Qwen3.8-Flash-Next-NVFP4 checkpoint; HF token gated)↗, vLLM project (nightly base image 8e2beaa3)↗, Sigstore/cosign (image signing + SBOM timestamping)↗ · listed by localai-recipes

Qwen3.8-Flash-Next (~180B multimodal MoE, NVFP4) on one NVIDIA DGX Spark (GB10, 121 GiB unified memory) with a pinned vLLM nightly image + 14 provenance-tracked patches (patch --fu

Qwen3.8-Flash-Next TP vllm +2

Ampere (6)

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

Qwen3.8-Flash-Next W4A16-Merlin on 4x RTX 3090 — TP2xPP2+EP, MTP3, FP8 KV, 925K pool (halt95)

by halt95↗, Qwen (Qwen3.8-Flash-Next)↗, Intel AutoRound (INT4 experts)↗, RadixArk (FP8 PLE table)↗, DominikBucko (MTP INT4 packing recipe)↗, peakcrosser7 (Flash-Next vLLM branch)↗ · listed by localai-recipes

Four-card RTX 3090 recipe for Qwen3.8-Flash-Next (125B MoE) in halt95's W4A16-Merlin build (Intel AutoRound INT4 + FP8 PLE + MTP draft, @ 17284bf): TP2 x PP2 with expert parallel,

Qwen3.8-Flash-Next vllm NVIDIA RTX 3090 24GB ×4 (Ampere) 174.3 tok/s decode · 5236 tok/s prefill
Qwen3.8-Flash-Next W4A16 INT4PLE on 2x modded CMP 170HX — PP2 MTP3 (DUFRelic)

by DUFRelic↗, zankich (INT4-PLE repackage + plugin)↗, halt95 (W4A16-Merlin base checkpoint)↗, michael-lgtm (public overlay rebuild)↗, amoghmunikote (cmpunlocker SM unlock + BAR1 P2P)↗ · listed by localai-recipes

Production 2x CMP 170HX recipe for Qwen3.8-Flash-Next: zankich INT4PLE repackage of halt95 Merlin W4A16 (94.4 GiB, 51B-param PLE table repacked INT4) on stock vLLM 0.30.0 + a 6-lay

Qwen3.8-Flash-Next vllm NVIDIA CMP 170HX 64GB ×2 (Ampere) 133.4 tok/s decode · 6213.7 tok/s prefill
Qwen3.8-Flash-Next 3bpw FP8-PLE 1x CMP 170HX DFlash2 RecoverSSM

by ElectroHobo↗, Morrowmake (vllm-cmp170hx engine + image + Qwen EXL3 recipe scripts this descends from, MIT)↗, klee100 (3 bpw AutoRound checkpoint with its MTP head, made for a 64 GiB card; not involved in this recipe)↗, halt95 (W4A16-Merlin checkpoint whose FP8 n-gram table this recipe serves; not involved in this recipe)↗, inco.ai (DFlash2 drafter, Apache-2.0)↗, Intel (AutoRound quantisation) + RadixArk (FP8 n-gram table quantisation)↗, Qwen (Qwen3.8-Flash-Next base model, Qwen Community License 1.0)↗, MiaAI-Lab (benchmark protocol + category prompts, used as data)↗ · listed by localai-recipes

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

Qwen3.8-Flash-Next TP vllm +2
Qwen3.8-Flash-Next W4A16 2x CMP 170HX TP2 DFlash2 host-RAM PLE

by ElectroHobo↗, Morrowmake (vllm-cmp170hx engine + image + Qwen EXL3 recipe scripts this descends from, MIT)↗, halt95 (W4A16-Merlin checkpoint + companion 3090 engine; not involved in this recipe)↗, inco.ai (DFlash2 drafter, Apache-2.0)↗, Intel (AutoRound INT4 experts) + RadixArk (FP8 n-gram table) + DominikBucko (MTP-head packing)↗, Qwen (Qwen3.8-Flash-Next base model, Qwen Community License 1.0)↗, MiaAI-Lab (benchmark protocol + category prompts, used as data)↗ · listed by localai-recipes

Qwen3.8-Flash-Next (125B MoE) INT4-expert W4A16 on two CMP 170HX cards, full 262,144-token context: 241/350/198 tok/s one user (structured/code/prose), 495 tok/s editing code, 895/

Qwen3.8-Flash-Next TP vllm +2
Qwen3.8-Flash-Next W4A16 2x CMP 170HX PP2 MTP5 PLE (AlexBrandes)

by AlexBrandes (recipe, fork, image, measurements)↗, AlexBrandes (vllm fork: PP + NVMe-mmapped PLE, Mamba PP state, draft lm_head, graph-safe PLE, bounded prefill)↗, polyuij42-del (community CMP 170HX W4A16 work the fork builds on)↗, nguyenthimy2022kg-alt (community SM80 170HX work the fork builds on)↗, MiaAI-Lab (sparkDash benchmark protocol @ 3e6d4ef)↗, Intel (INT4 W4A16 AutoRound quant)↗ · listed by localai-recipes

Recipe by AlexBrandes. Qwen3.8-Flash-Next (Intel/Qwen3.8-Flash-Next-W4A16-AutoRound @ 4c67bf68) on two NVIDIA CMP 170HX cards in PIPELINE parallel (PP2, layer split 26/22) with a v

Qwen3.8-Flash-Next PP vllm +2

Showing 12 of 26 recipes on this page — filter or paginate for the rest.