{"meta":{"count":12,"page":1,"pages":1,"per_page":12,"applied":{"engine":null,"model":null,"quant":null,"storage":null,"hardware":["dgx-spark","dgx-spark-x4"],"generation":null,"task":null,"tier":null,"tags":[],"vram":null,"search":null,"sort":"updated","featured":false},"origin":"https://localairecipes.com","openapi":"/openapi.json","updated_at":"2026-10-31T16:07:09+00:00"},"recipes":[{"slug":"qwen3-8-flash-next-w4a16-autoround-dgx-spark-vllm-mtp4-iter7g","title":"Qwen3.8-Flash-Next W4A16-AutoRound DGX Spark vLLM MTP4 Iter7g","summary":"Recipe by kyaky. Qwen3.8-Flash-Next W4A16-AutoRound hybrid (INT4 experts + FP8 side layers + INT8 head; 51B-token n-gram PLE table on NVMe mmap) on one DGX Spark (GB10, 121 GB unified memory) on a verified-deterministic vLLM floor (image qwen38-flash-dgx:iter7g-20261015 on the digest-pinned vllm/vllm-openai:qwen38-flash-next base): MoE align arrival-order shim, drafter-Marlin atomicAdd fix, pinned triton config, compile-cache mount. Measured line v19a-w5 = MTP=4 window-5 block verification: 76.8 tok/s single-stream, 261.2 tok/s aggregate at 8 streams (+9.2% N1 / +4.8% N8 over MTP=3, two boots per arm, same image). Promoted serving line v20-fp8: fp8 KV cache on a 24 GB pool at native 262,144 context, 1,291,120-token capacity. Chinese +31.3% via a 25,862-id (39.5%) Han draft-vocab rebalance (prose-zhen 34.8 to 45.7 tok/s). Stochastic-correctness gate 37/37 vs bit-exact fp64 oracle; per-round raw data + scripts ship in-repo; copy-agentic-1 failure disclosed.","tier":"community","beta":false,"generation":"blackwell","decode_tok_s":61.2999999999999971578290569595992565155029296875,"prefill_tok_s":0,"updated_at":"2026-10-29 21:32:28.107205-06","commit_sha":"dc8982acabf5e6b6417f4871ad5149d61f01755d","content_hash":"e6a2cfdf4903c7ca1b80df3d0f496d3ca3f13840","votes":0,"credit":[{"name":"kyaky","url":"https://github.com/kyaky/qwen3.8-flash-next-gb10-ultrafast"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/qwen3-8-flash-next-w4a16-autoround-dgx-spark-vllm-mtp4-iter7g.json","alternate":"/r/qwen3-8-flash-next-w4a16-autoround-dgx-spark-vllm-mtp4-iter7g"}},{"slug":"qwen3-8-flash-next-nvfp4-dgx-spark-gb10-sglang-nextn-mtp","title":"Qwen3.8-Flash-Next NVFP4 DGX Spark GB10 SGLang NEXTN MTP","summary":"Production single-node DGX Spark (Grace Blackwell GB10, SM121, 128GB unified memory) recipe for Qwen3.8-Flash-Next on SGLang: ModelOpt NVFP4 quantization with zero-copy NVMe mmap of the 47.7 GiB ple_table.bin via --ple-offload-embedding (eliminates 51 GiB of unified-memory footprint), custom Triton FP4 prefill kernels + trtllm_mha decode kernels on SM121, NEXTN MTP (3 verification steps / 4 draft tokens) lifting output to 110-152 tok/s, GDN+QSA hybrid (131,072-token served window, 262k native capacity), 96-slot mamba recurrence buffers, sharp froggeric v22.1 Jinja chat template (-18% response length), persistent Triton/Inductor SM121 JIT caches on NVMe, 8-worker parallel NVMe pre-warm (206 shards in 17s) + 16-core Grace OMP. Author-measured vs same-box 27B dense baseline: 110.4-152.8 tok/s decode w/ MTP (baseline 12.1 base / 21.5 MTP), single-stream CoT 25.1-28.8 tok/s (2.62x speculative gain), TTFT ~347ms radix hit / ~465ms cold, 113 GiB / 121 GiB RAM used (~8 GiB headroom), 103.5 GiB","tier":"community","beta":false,"generation":"blackwell","decode_tok_s":110.400000000000005684341886080801486968994140625,"prefill_tok_s":0,"updated_at":"2026-10-29 21:32:27.869274-06","commit_sha":"2c5220aa85b5379d7373abd0aa14bb13b1ec993f","content_hash":"bf0c02f95b99494d6720a515e2f8f438f126bc87","votes":0,"credit":[{"name":"Michael Bemler (Bemler Labs)","url":"https://github.com/bemlerlabs/qwen3.8-flash-next-dgx-spark-sglang"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/qwen3-8-flash-next-nvfp4-dgx-spark-gb10-sglang-nextn-mtp.json","alternate":"/r/qwen3-8-flash-next-nvfp4-dgx-spark-gb10-sglang-nextn-mtp"}},{"slug":"qwen3-8-flash-next-fp4-local-1x-dgx-spark-vllm-b12x","title":"Qwen3.8-Flash-Next FP4-Local 1x DGX Spark vLLM b12x","summary":"Recipe by sojufx. Serves NVIDIA's nvidia/Qwen3.8-Flash-Next-FP4-Local (96 GiB NVFP4 quantization-aware-distilled checkpoint in a new compressed NVFP4 scale format) on one DGX Spark (GB10) via the digest-pinned eugr/spark-vllm-b12x community container (reported vLLM 0.1.dev21830+g8244d1c44.d20261015) - the model card requires community b12x containers until the format lands upstream. FP8 KV cache, exact MTP K=3 with standard rejection sampling, 262,144-token context, 4 scheduler slots, 4096-token batched prefill, disk-backed io_uring PLE, prefix cache with Mamba align, vision plus qwen3_xml tool calling, thinking off by default, localhost-only 127.0.0.1:8001 OpenAI-compatible backend with a deliberate no-replace/no-port-take guard. Measured 2026-10-15/16 on the author's Spark: 66.2 tok/s single-stream sparkDash counting decode, 166.4 tok/s at C4, 41-54 tok/s single-stream on the four-prompt wall-clock suite - different measurement bases, not interchangeable.","tier":"community","beta":false,"generation":"blackwell","decode_tok_s":66.2000000000000028421709430404007434844970703125,"prefill_tok_s":0,"updated_at":"2026-10-29 21:32:27.177524-06","commit_sha":"5fc0d101d8e9b1c6a1419f3d465e21649f4ecbad","content_hash":"be42677d0cc5ca7f71fe72210e756f1622fe3604","votes":0,"credit":[{"name":"sojufx","url":"https://github.com/sojufx/Qwen3.8-Flash-Next-FP4-Local-DGX-Spark-Recipe"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/qwen3-8-flash-next-fp4-local-1x-dgx-spark-vllm-b12x.json","alternate":"/r/qwen3-8-flash-next-fp4-local-1x-dgx-spark-vllm-b12x"}},{"slug":"nemotron-3-5-bolt-74b-a9b-1x-dgx-spark-vllm-b12x-lilicorr-262k","title":"Nemotron 3.5 Bolt 74B-A9B 1x DGX Spark vLLM b12x LiLiCorr 262K","summary":"NVIDIA Nemotron 3.5 Bolt 74B-A9B-24GB (hybrid Mamba-2/Transformer latent-MoE, 74B with 9B active, IQ2_XXS 2-bit experts, NVFP4 Mamba layers, Q8_0 rest; text+image+video in, 262,144-token window, OpenMDW-1.1) on one DGX Spark (GB10/SM121) with vLLM nightly-77154ca6 (base image vllm/vllm-openai@sha256:1ee85ca8) + b12x 1.5.1 kernels (--linear-backend b12x --moe-backend b12x), FP8 KV cache, gpu-memory-utilization 0.70, max-num-seqs 16, and the NVIDIA LiLiCorr MTP drafter at 7 speculative tokens. Pinned revisions: model c6cc2e8f, drafter 4c6a5613. Measured on the reference box: ~140 tok/s code rewrite / 63 summarise / 50 prose single-stream with the drafter (mean acceptance 4.0 tokens/pass), 31 tok/s without; 74.8/113.4/163.6/201.2 tok/s at 1/4/8/16 streams; KV cache ~6.52M tokens at the 0.70 share. On a 64 GB Spark the lane takes its own memory share 0.60: 667,874 KV tokens (2.55 windows), 110.8 tok/s greedy, 7.1 GiB left at the peak (2026-10-24).","tier":"community","beta":false,"generation":"blackwell","decode_tok_s":63,"prefill_tok_s":0,"updated_at":"2026-10-29 21:32:26.717952-06","commit_sha":"2cdb5f11ffa1fb1af8676496fdd631976c3d536d","content_hash":"28887fb2cf3bab1914c803e792898fff92b9afe0","votes":0,"credit":[{"name":"hasso5703","url":"https://github.com/hasso5703"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/nemotron-3-5-bolt-74b-a9b-1x-dgx-spark-vllm-b12x-lilicorr-262k.json","alternate":"/r/nemotron-3-5-bolt-74b-a9b-1x-dgx-spark-vllm-b12x-lilicorr-262k"}},{"slug":"glm-5-3-flash-exlr8-exl3-experts-on-dgx-spark-tp1-4","title":"GLM-5.3-Flash exlr8 EXL3 experts on DGX Spark TP1-4","summary":"GLM-5.3-Flash exlr8: MoE layers are EXL3-trellis units decoded by the custom exlr8 MoE kernel; dense linears stay FP8/NVFP4. One release carries three expert widths (k2/k3/k4 = 2/3/4 bpw), chosen at boot via VLLM_EXLR8_WIDTHS. Reference topology TP=4 on four GB10 boxes; TP=1 serves the whole model (~87 GiB) on one 128 GB DGX Spark / ASUS GX10 via tp1.yaml plus a distinct MENTAT_GROUP. TP=2 and TP=3 also measured. 2026-10-19, clocks TP-locked at 2200 MHz: decode code 128.0 tok/s, prose 72.5 at TP=4; 53.0 / 29.5 at TP=1; prefill 4,393 tok/s at 8K, 4,190 at 32K. Trade vs the shipping NVFP4 build: decode +3-8%, NLL equal or better, KV pool ~+15%, prefill 7.7% lower at Second 1x-Spark GLM-5.3-Flash lane: not the VQ Q4_K GGUF lane (/r/glm-5-3-flash-vq-q4-k-1x-dgx-spark-1m-ctx-jlfn), and not a fork of the 2x ATLAS build (/r/glm-5-3-flash-nvfp4-on-2x-dgx-spark-atlas-rc4-2-tp2-dflash2-1m) whose NVFP4 Flash base this stack overlays.","tier":"community","beta":false,"generation":"blackwell","decode_tok_s":65.2000000000000028421709430404007434844970703125,"prefill_tok_s":3438.5,"updated_at":"2026-10-29 21:32:25.385656-06","commit_sha":"2ddd4d836d8efa003f7203ba30597c20dc21e495","content_hash":"79db03010b10026e9788b7c749df25daf5fb38be","votes":0,"credit":[{"name":"kindlingai","url":"https://github.com/kindlingai/glm-5.3-flash-exlr8-gx10"},{"name":"nvidia","url":"https://huggingface.co/nvidia/GLM-5.3-Flash-NVFP4"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/glm-5-3-flash-exlr8-exl3-experts-on-dgx-spark-tp1-4.json","alternate":"/r/glm-5-3-flash-exlr8-exl3-experts-on-dgx-spark-tp1-4"}},{"slug":"deepseek-v4-1-flash-on-4x-dgx-spark-tuned-tp4-sglang-dspark","title":"DeepSeek-V4.1-Flash on 4x DGX Spark \u2014 tuned TP4 SGLang/DSpark","summary":"","tier":"community","beta":false,"generation":"blackwell","decode_tok_s":89.7000000000000028421709430404007434844970703125,"prefill_tok_s":5650,"updated_at":"2026-10-29 21:32:23.622356-06","commit_sha":"ddf188add74be5de70f13f6f71735ec18a87c83c","content_hash":"647b167cbdd40dfd95cbaabc81e8624e929d847d","votes":0,"credit":[{"name":"knapcio (TP4 profile, v2.1-v2.3 production stack, release gates)","url":"https://github.com/knapcio/DeepSeek-V4.1-Flash-4x-DGX-Spark-TP4"},{"name":"MiaAI-Lab (upstream: launcher, Engram store, b12x routing, memory model)","url":"https://github.com/MiaAI-Lab/DeepSeek-v4.1-Flash-DGX-Sparks"},{"name":"0xSero (original 4x RTX PRO 6000 recipe skeleton boot.py derives from)","url":"https://github.com/sybil-solutions/deepseek-v4.1-flash-4x-rtx-pro-6000"},{"name":"kpham-sgl (sglang#39187 bounded dense-indexer prefill transient, backported as adapter/indexer_chunked*.py)","url":"https://github.com/sgl-project/sglang/pull/39187"},{"name":"BBuf + dsv4.1 branch contributors (#39370, #39646, #39648, #39653 decode kernel work in the canary images)","url":"https://github.com/sgl-project/sglang"},{"name":"rhys101 (SG17 RoCEnante overlay + SG18 prefill TP split from DeepSeek-V4.1-Flash-vLLM-DGX-Spark-8)","url":"https://github.com/rhys101/DeepSeek-V4.1-Flash-vLLM-DGX-Spark-8"},{"name":"local-inference-lab \u2014 Luke Alonso & Jason (b12x: RoCEnante one-shot RDMA all-reduce + fused MoE kernels)","url":"https://github.com/local-inference-lab/b12x"},{"name":"FujitsuPolycom + sparkring contributors (switchless-ring opposite-node paths, path-aware RoCEnante)","url":"https://github.com/FujitsuPolycom/sparkring"},{"name":"Saolence (#1/#2/#4/#5/#6: ring as opt-in switch, NCCL/build fixes, first-deployer review)","url":"https://github.com/knapcio/DeepSeek-V4.1-Flash-4x-DGX-Spark-TP4/pull/4"},{"name":"rsync/rchmagos (#8: RoCEnante on the switchless ring, DSV41_ROCE_RING + scripts/ring_mesh/)","url":"https://github.com/knapcio/DeepSeek-V4.1-Flash-4x-DGX-Spark-TP4/pull/8"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/deepseek-v4-1-flash-on-4x-dgx-spark-tuned-tp4-sglang-dspark.json","alternate":"/r/deepseek-v4-1-flash-on-4x-dgx-spark-tuned-tp4-sglang-dspark"}},{"slug":"qwen3-8-27b-sglang-nvfp4-dflash2-on-1x-dgx-spark-deterministic","title":"Qwen3.8-27B SGLang NVFP4 DFlash2 on 1x DGX Spark (deterministic)","summary":"First dense Qwen3.8-27B recipe on 1x DGX Spark (GB10, 128 GB unified): SGLang v0.5.22 release image + NVFP4 target + DFlash2 speculative decoding (NVFP4 calibrated 5-layer draft, depth 16), served by a boot-persistent systemd unit from a one-command installer. Author-measured 68.3 tok/s greedy median single stream (bench.sh, thinking on; v1.39.0 A/B 2026-10-23), 81.7 tok/s at 4 streams (serving-bench), 135-148 tok/s at 8 streams and 258 at 32. Fully pinned (image digest, checkpoint revisions, draft depth) and reproducible to the decimal across boots via --disable-flashinfer-autotune (\"The boot lottery\", BENCHMARKS.md); 1M-token YaRN context by default, native 262144 as fallback; OpenAI- and Anthropic-compatible API on :30001 through the box's keepalive proxy (the engine itself answers on 127.0.0.1:30000, on the box only), with opencode wired out of the box.","tier":"community","beta":false,"generation":"blackwell","decode_tok_s":68.2999999999999971578290569595992565155029296875,"prefill_tok_s":0,"updated_at":"2026-10-28 16:49:58.824279-06","commit_sha":"307fa2334d111e38258e27fa9e690c44e96b441b","content_hash":"7d8b3e291e1b8abfa9db4ded3e90cd601b8bba78","votes":0,"credit":[{"name":"hasso5703","url":"https://github.com/hasso5703"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/qwen3-8-27b-sglang-nvfp4-dflash2-on-1x-dgx-spark-deterministic.json","alternate":"/r/qwen3-8-27b-sglang-nvfp4-dflash2-on-1x-dgx-spark-deterministic"}},{"slug":"qwen3-8-flash-next-nvfp4-1x-dgx-spark-vllm-71-3-c1-salient-data","title":"Qwen3.8-Flash-Next NVFP4 1x DGX Spark vLLM 71.3 c1 (salient-data)","summary":"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 --fuzz=0) + one docker run, fitting the 51.2 GB PLE n-gram table by never making it resident (rows read per forward-pass step from the checkpoint file). 69.3 tok/s single-stream median decode (runs 66.8/69.5/69.3), 41.0 prose median, 91.9 tok/s 6-stream aggregate (1 run), GSM8K 99/100 on a fixed 100-problem subset (temp 0.6 top-p 0.95 thinking on), 12/12 arithmetic + 131K needle pass + prefix-cache canary pass, prefix caching ON. Measured with tonyd2wild's bench_categories.py @ 6ad1c8f unchanged on build 2026-10-22-8e2beaa3; clean first-time run 2026-10-25 re-measured 69.8/41.5/82.6. Prod/dev: prod image digest-pinned + cosign-signed + SPDX SBOM; dev rebuilds the same serving code from published patches with an AST-equivalence proof. Outside the model card's support statement (B200/B300 listed, GB10 unlisted).","tier":"community","beta":false,"generation":"blackwell","decode_tok_s":69.2999999999999971578290569595992565155029296875,"prefill_tok_s":0,"updated_at":"2026-10-28 15:59:39.152527-06","commit_sha":"85e2e4120ef69829bff82736c39745ac579c9a6b","content_hash":"63f86642d07e8833929005e2087044adaecc1ca4","votes":0,"credit":[{"name":"Jeremy Newhouse / salient-data (recipe, patches, measurements)","url":"https://github.com/salient-data/qwen38-next-dgx-recipe"},{"name":"tonyd2wild (bench_categories.py @ 6ad1c8f + comparator stack/numbers)","url":"https://github.com/tonyd2wild/Qwen3.8-Flash-Next-NVFP4-DGX-Spark"},{"name":"NVIDIA (Qwen3.8-Flash-Next-NVFP4 checkpoint; HF token gated)","url":"https://huggingface.co/nvidia/Qwen3.8-Flash-Next-NVFP4"},{"name":"vLLM project (nightly base image 8e2beaa3)","url":"https://github.com/vllm-project/vllm"},{"name":"Sigstore/cosign (image signing + SBOM timestamping)","url":"https://docs.sigstore.dev"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/qwen3-8-flash-next-nvfp4-1x-dgx-spark-vllm-71-3-c1-salient-data.json","alternate":"/r/qwen3-8-flash-next-nvfp4-1x-dgx-spark-vllm-71-3-c1-salient-data"}},{"slug":"glm-5-3-flash-vq-q4-k-1x-dgx-spark-1m-ctx-jlfn","title":"GLM-5.3-Flash VQ Q4_K 1x DGX Spark 1M ctx (JLFN)","summary":"Recipe by JLFN (dgx-recipe, verified on-box 2026-10-17). Baekpica/GLM-5.3-Flash-VQ-GGUF (72 GiB GVQ1 release directory: routed experts vector-quantized with codebook, 316 nonexpert matrices Q4_K, rest source precision; 56 GGUF parts, embedded MTP predictor) served by the ds4-dfm-rs Rust host (ds4-server, CUDA) on one DGX Spark at the model's native 1048576-token context with two banks. Measured at temperature 0: 24.2-24.3 tok/s one stream, 12.1/12.0 each with two streams (aggregate flat - decode is bytes-per-token against the weight stream). Disclosed quality trade: prose PPL 4.8555 vs 8.0797, code-completion 10.5 vs 18.4%, Korean meeting-summary degeneration under greedy.","tier":"community","beta":false,"generation":"blackwell","decode_tok_s":24.300000000000000710542735760100185871124267578125,"prefill_tok_s":0,"updated_at":"2026-10-20 21:52:36.476254-06","commit_sha":"f5a53e8b06f37327380e8affb1c9ea298e270456","content_hash":"2d63af307f133a15a2baacaee8d45c16f33ff129","votes":0,"credit":[{"name":"JLFN","url":"https://github.com/JLFN/dgx-recipe"},{"name":"Baekpica","url":"https://huggingface.co/Baekpica"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/glm-5-3-flash-vq-q4-k-1x-dgx-spark-1m-ctx-jlfn.json","alternate":"/r/glm-5-3-flash-vq-q4-k-1x-dgx-spark-1m-ctx-jlfn"}},{"slug":"glm-5-3-flash-nvfp4-4x-dgx-spark-switchless-ring-tp4-dflash2","title":"GLM-5.3-Flash NVFP4 4x DGX Spark switchless ring TP4 DFlash2","summary":"Recipe by Alex Ellis / OpenFaaS Ltd. GLM-5.3-Flash (320B-A18B, NVFP4) served tensor-parallel 4 across four DGX Spark (GB10, sm_121) nodes cabled as a closed switchless RoCE ring: two rails per node wired to two neighbours, the non-adjacent hop relayed through a neighbour \u2014 no switch on the data path or the procurement path. Collectives use canonical switchless-nccl v0.0.1 (NCCL 2.30.7 + two Apache-2.0 switchless patches + OpenFaaS hardening patch), LD_PRELOADed with pinned library sha256 and NCCL_ALGO=Ring; not SparkRing/SIRCL, distinct from the site's switched 4x Spark SGLang lane. vLLM on the public tonyd2wild sm121-v11-dflash2 image: TP4, marlin MoE, FP8 E4M3 KV at 12 GiB per rank (pool 1,576,246 tokens = 6.01x window), DFlash2 drafter k=7, glm47 tool + glm45 reasoning parsers, max-num-seqs 6, workers (ranks 3,2,1) headless first, then head rank 0 opens the single OpenAI-compatible endpoint on :8000. Same fabric also served GLM-5.2 (EXL3, QuantTrio) and DeepSeek-V4-Flash at TP4.","tier":"community","beta":false,"generation":"blackwell","decode_tok_s":45,"prefill_tok_s":1971.59999999999990905052982270717620849609375,"updated_at":"2026-10-20 21:52:36.421715-06","commit_sha":"3ec203d32cde9b249d3e88f040a8d0c79650c3db","content_hash":"9cf1d9bb8001b5e721793f15e201aee0b5916f6d","votes":0,"credit":[{"name":"Alex Ellis / OpenFaaS Ltd","url":"https://github.com/alexellis/glm-5.3-flash-4x-dgx-spark-switchless"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/glm-5-3-flash-nvfp4-4x-dgx-spark-switchless-ring-tp4-dflash2.json","alternate":"/r/glm-5-3-flash-nvfp4-4x-dgx-spark-switchless-ring-tp4-dflash2"}},{"slug":"qwen3-8-flash-next-uncensored-nvfp4-bf16-ple-dgx-spark-vllm-mtp2","title":"Qwen3.8-Flash-Next Uncensored NVFP4 BF16 PLE DGX Spark vLLM MTP2","summary":"DGX Spark recipe running NVFP4 Qwen3.8-Flash-Next with its FULL-PRECISION BF16 PLE memory-mapped from NVMe on vLLM (NOT the FP8-table variants the other Spark recipes use): the complete 95.37 GiB BF16 PLE stays in the checkpoint on NVMe and is mmap'd, gathering only the rows each request needs, while the NVFP4 compute trunk stays in unified memory - PIECEWISE CUDA graphs + BF16 KV cache. Runtime-qualified ONLY for orcarouter/Qwen3.8-Flash-Next-Uncensored-NVFP4 @ 3a3b63161c0745390e5270179af42e46efc70799 (gated HF repo) plus the recipe's deterministic overlay of exactly 31 native BF16 MTP tensors sourced from pinned RadixArk/Qwen3.8-Flash-Next-NVFP4 @ 7b719225242aacd3dbd3f9407468c2ee9a9d2594 (Orcarouter ships zero MTP tensors despite advertising an MTP layer; 4.86 GiB compact BF16 MTP file; load guard verifies 31/31 tensor identities, hash+dtype+name+arch+load-count guarded - checkpoint-specific, not a generic plug-in). Engine: official vllm/vllm-openai:qwen38-flash-next image @ sha256:f","tier":"community","beta":false,"generation":"blackwell","decode_tok_s":44.2000000000000028421709430404007434844970703125,"prefill_tok_s":2055.1999999999998181010596454143524169921875,"updated_at":"2026-10-20 15:34:13.655428-06","commit_sha":"fbfeac5f3b0f82db6cddd8164911dcb3173edf1d","content_hash":"89ee2463a76211f23776cd44e1d72def5dd56dc5","votes":0,"credit":[{"name":"YSLAB-ai (BF16 PLE support, DGX Spark fixes, guarded MTP overlay, runtime qualification)","url":"https://github.com/YSLAB-ai/Qwen3.8-Flash-Next-NVFP4-BF16PLE-DGX-Spark"},{"name":"blazux (originated the FP8 PLE mmap work)","url":"https://github.com/blazux"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/qwen3-8-flash-next-uncensored-nvfp4-bf16-ple-dgx-spark-vllm-mtp2.json","alternate":"/r/qwen3-8-flash-next-uncensored-nvfp4-bf16-ple-dgx-spark-vllm-mtp2"}},{"slug":"qwen3-8-flash-next-nvfp4-dgx-spark-gb10-sglang-mtp-213-262k","title":"Qwen3.8-Flash-Next NVFP4 DGX Spark GB10 SGLang MTP-213 262K","summary":"Native-262K-context DGX Spark recipe for RadixArk/Qwen3.8-Flash-Next-NVFP4, validated on ASUS Ascent GX10 (same GB10 / 128GB unified memory as NVIDIA DGX Spark): the NVFP4 checkpoint is 135.24 GB and stock PLE host offload still lands the whole 51.2 GB table in host memory - but host memory and VRAM are the SAME 128 GB pool on GB10 - so this recipe adds two source-hash-guarded patches to a pinned SGLang image: (1) verified raw FP8 mmap keeps the full PLE table on NVMe with a bounded 256 MiB four-way pinned row cache for decode lookups (large prefill lookups bypass it), (2) QSA decode uses a PyTorch SDPA fallback on SM121 because the pinned FlashAttention-4 varlen path does not compile on GB10. prepare step converts the checkpoint's 128 FP8 PLE shards into a contiguous 51.2 GB mmap and byte-verifies 256 deterministic rows against the safetensors source. Official SGLang MTP-213 profile (2 speculative steps / top-k 1 / 3 draft tokens). Author-measured 2026-08-26 (benchmarks/asus-ascent-gx","tier":"community","beta":false,"generation":"blackwell","decode_tok_s":32.7000000000000028421709430404007434844970703125,"prefill_tok_s":0,"updated_at":"2026-10-20 15:34:13.16029-06","commit_sha":"28fe705dac20c012daa230c6139390ac9c3f389a","content_hash":"c5a8a1d93d215c46ce05e7bbeb9d6c37773c356d","votes":0,"credit":[{"name":"Felliks","url":"https://github.com/Felliks/qwen38-flash-next-one-dgx-spark"},{"name":"sgl-project (SGLang + official MTP-213 profile)","url":"https://github.com/sgl-project/sglang"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/qwen3-8-flash-next-nvfp4-dgx-spark-gb10-sglang-mtp-213-262k.json","alternate":"/r/qwen3-8-flash-next-nvfp4-dgx-spark-gb10-sglang-mtp-213-262k"}}]}