{"meta":{"count":3,"page":1,"pages":1,"per_page":12,"applied":{"engine":null,"model":null,"quant":null,"storage":null,"hardware":["dgx-station-gb300-x2","170hx-x3"],"generation":null,"task":null,"tier":null,"tags":[],"vram":null,"search":null,"sort":"updated","featured":false},"origin":"https://localairecipes.com","openapi":"/openapi.json","updated_at":"2026-10-31T14:29:45+00:00"},"recipes":[{"slug":"ds4-flash-3x170hx-pp3-dspark-k5","title":"DeepSeek V4 Flash-0731 abliterated on 3x CMP 170HX \u2014 vLLM patched PP3 DSpark K5","summary":"The proven 3-card pipeline-parallel recipe on CMP 170HX (sm_80, 64GB unlocked): PP=3 with manual layer partition 15,16,12 at util 0.98, FP8 KV, block-size 256, DSpark block drafting at exactly 5 speculative tokens, async scheduling, CPU pinning (dedicated physical cores, placeholder in launch args), hard memory cap 64g with swap disallowed. Structured decode 181 tok/s at 99% acceptance. Upstream reference repo: allover326/deepseek-v4-cmp170hx @ 3dd2d88 (Aug 13 2026) \u2014 documents 15,15,13 3-card split, retracted 4-card requirement, INT4 524288 ctx w/ DSV4_LOGITS_ROW_CHUNK=64, +7% decode via c3046d1 rebase patches (full source build required). First-party 15,16,12 numbers on this page are ours.","tier":"curated","beta":false,"generation":"ampere","decode_tok_s":129.900000000000005684341886080801486968994140625,"prefill_tok_s":2350,"updated_at":"2026-10-29 21:32:23.860633-06","commit_sha":"24a9ac90156459e4efb49c951590edbea775df38","content_hash":"02d56ece2249f2b3e2b1ee2ffce158e841e20d26","votes":0,"credit":[{"name":"allover326","url":"https://github.com/allover326/deepseek-v4-cmp170hx"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/ds4-flash-3x170hx-pp3-dspark-k5.json","alternate":"/r/ds4-flash-3x170hx-pp3-dspark-k5"}},{"slug":"deepseek-v4-1-flash-1017-fp8-tp1xpp2-dspark-2x-dgx-station-gb300","title":"DeepSeek V4.1 Flash 1017 FP8 TP1xPP2 DSpark 2x DGX Station GB300 RoCE vLLM 0.31 overlay","summary":"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 and removes all 84 per-step all-reduces, replacing them with two point-to-point hops: single-stream temp-0 391 tok/s vs TP2 stock 290.5 (+34%), step 12.3 ms -> ~9.4 ms; aggregate soak 323/406/595/974 tok/s at C1/C2/C4/C8 (3.01x C1); GSM8K 97/100, 0 errors; 1M-token context, FP8 KV, Engram host table pinned in Grace RAM on rank 0. Ships the five-file vLLM v0.31.0 source-fix overlay (bind-mounted over stock vllm/vllm-openai:v0.31.0) that makes DSpark work under PP, plus preflight, launch scripts and soak/receipt verifiers. ALL perf numbers author-measured on their own pair (2026-10-25) - not reproduced locally; site has no GB300 hardware. Recipe by ebfio (port by Iris, a GLM-5.3 model, with Eduardo & Kestrel).","tier":"community","beta":false,"generation":"blackwell","decode_tok_s":357,"prefill_tok_s":0,"updated_at":"2026-10-27 16:38:42.712204-06","commit_sha":"2acdf45851ff045dc48344004a9ec5fde3af3de4","content_hash":"739e619707a224aa4cd8782dc5ed8d43f68dce86","votes":0,"credit":[{"name":"ebfio - DeepSeek V4.1 Flash PP2+DSpark GB300 pair recipe (port by Iris on 4x RTX Pro 6000, with Eduardo & Kestrel)","url":"https://github.com/ebfio/deepseek-v41-flash-pp2-pair"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/deepseek-v4-1-flash-1017-fp8-tp1xpp2-dspark-2x-dgx-station-gb300.json","alternate":"/r/deepseek-v4-1-flash-1017-fp8-tp1xpp2-dspark-2x-dgx-station-gb300"}},{"slug":"qwen3-8-flash-next-w4a16-3x-cmp-170hx-pp3-nvme-ple-fp8-kv-1m-cle","title":"Qwen3.8-Flash-Next W4A16 3x CMP 170HX PP3 NVMe PLE fp8 KV 1M (clee)","summary":"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 streams live from NVMe (shard-direct preadv into a fixed GPU staging buffer, never fully loaded), fp8 e4m3 KV software-decoded on SM80, mamba SSM cache bf16, and 1,048,576-token context via YaRN x4 over the 262144-native checkpoint. KV pool 5.97M tokens (~5.7 concurrent 1M sessions). W4A16 experts run GPTQ-Marlin bit-exact; no GPU P2P on this card pairing, so PP stages through host RAM with NCCL_P2P_DISABLE=1 + --disable-custom-all-reduce. Measured cold-cache temp=0: prefill 2389 tok/s @4k rising to 4690 @1M (QSA sparse crossover past ~64k), decode 73.2 -> 59.8 tok/s @1M, TTFT 223 s @1M; exact needle recall at all depths through 1M. Fork clee/vllm-sm80 on a PINNED nightly; newer nightlies not validated.","tier":"community","beta":false,"generation":"ampere","decode_tok_s":73.2000000000000028421709430404007434844970703125,"prefill_tok_s":3563,"updated_at":"2026-10-20 15:34:25.555323-06","commit_sha":"fb3da33b3299da70eb24ce68a2c772de0dc1a356","content_hash":"0dea5f8b482a14a47e6cef76e85ad322d56f9821","votes":1,"credit":[{"name":"clee (recipe, fork patches, bench + needle harness)","url":"https://github.com/clee/qwen3.8-flash-next-3x170hx"},{"name":"clee (vllm-sm80 fork: units-fix, fp8-kv-sm80, ple-pp3, ple-nvme-staged)","url":"https://github.com/clee/vllm-sm80"},{"name":"Kai / 2Wild (Qwen38-Flash-Next-4x3090 \u2014 staged-PLE architecture inspiration)","url":"https://github.com/tonyd2wild/Qwen38-Flash-Next-4x3090"},{"name":"Intel (INT4 W4A16 AutoRound quant)","url":"https://huggingface.co/Intel/Qwen3.8-Flash-Next-W4A16-AutoRound"},{"name":"froggeric (bugfixed Qwen3.8 chat templates)","url":"https://huggingface.co/froggeric/Qwen-Fixed-Chat-Templates"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/qwen3-8-flash-next-w4a16-3x-cmp-170hx-pp3-nvme-ple-fp8-kv-1m-cle.json","alternate":"/r/qwen3-8-flash-next-w4a16-3x-cmp-170hx-pp3-nvme-ple-fp8-kv-1m-cle"}}]}