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)CMP 170HX 64GB (Ampere): Any6 cards (1)4 cards (10)3 cards (2)2 cards (15)1 card (3)RTX PRO 6000 Blackwell 96GB: Any4 cards (5)3 cards (1)2 cards (5)1 card (7)
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Filters: qwen3-8-flash-next 170hx 170hx-x4 rtx-pro-6000-blackwell clear all

6 recipes (1 beta hidden) · page 1 of 1

Blackwell (1)

Community builds

Blackwell (2)

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

Qwen3.8-Flash-Next NVFP4 RTX PRO 6000 Blackwell SGLang NVMe PLE

by yepapa-nest↗, jzinno (NVMe PLE streaming PR #36567 source tree)↗, sgl-project (SGLang upstream + PRs 36556/36749/36750)↗ · listed by localai-recipes

Single-card RTX PRO 6000 Blackwell (SM120, 96GB) recipe for Qwen3.8-Flash-Next on SGLang: the 51B N-gram PLE table is read straight off NVMe with io_uring as tokens need it (measur

Qwen3.8-Flash-Next sglang NVIDIA RTX PRO 6000 Blackwell 96GB ×1 180.9 tok/s decode · 9990 tok/s prefill

Ampere (3)

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

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 3bpw MTP on 1x CMP 170HX SSD PLE AIO (iIIusi0n)

by iIIusi0n (recipe, vLLM ple-ssd patch set, AIO helper, benchmark harness)↗, Qwen (official Qwen3.8-Flash-Next base, Qwen Community License 1.0)↗, klee100 (AutoRound 3bpw+MTP quantized checkpoints, official + uncensored)↗, OrcaRouter (Qwen3.8-Flash-Next-Uncensored BF16 abliterated fine-tune)↗, vLLM project (upstream vLLM @ a5a30471 the patch applies to)↗ · listed by localai-recipes

First single-CMP-170HX recipe for Qwen3.8-Flash-Next: the AutoRound 3bpw+MTP checkpoint on ONE 64 GiB SM80 GPU with the 95.37 GiB BF16 PLE table left ON the SSD — native Linux AIO

Qwen3.8-Flash-Next vllm NVIDIA CMP 170HX 64GB ×1 (Ampere) 111 tok/s decode · 2132 tok/s prefill