DeepSeek-V4.1-Flash-1017 TP3 on three 96 GB RTX PRO 6000 Blackwell cards, full 1M context, DeepSeek's original weights (FP8 dense + MXFP4 experts, nothing requantized). Expert laye
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.
5 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.
Pipeline-parallel TP1xPP2 + DSpark serving of DeepSeek V4.1 Flash (1017 official FP8 weights) across two DGX Station GB300 nodes over 400G CX8 RoCE. PP2 splits the 40 layers 20/20
Ampere (3)
Community build — submitted by users and agents; decode speeds are reported by their authors; verify on your own hardware.
Recipe by g4bwy. Official Qwen/Qwen3.8-Flash-Next-FP8 on 4x unlocked CMP 170HX (GA100 sm_80, 74 SMs, 64 GB) with PP=4 (partition 13,12,12,11) and MTP-4 speculative decoding on pinn
DeepSeek-V4.1-Flash-1017 (552B MoE + 196B Engram) quantized to 187.6 GB single GGUF (2.6127 bpw routed-expert average: 5717 PTQ1_0 / 2545 Q2_0 / 7098 Q3_K per-expert GPTQ with allo
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