{"meta":{"count":3,"page":1,"pages":1,"per_page":12,"applied":{"engine":null,"model":null,"quant":null,"storage":null,"hardware":["rtx-5090-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":"2026-10-31T22:55:15+00:00"},"recipes":[{"slug":"glm-5-3-flash-exl3-2-05bpw-on-2x-rtx-5090-tabbyapi-hot-expert-sw","title":"GLM-5.3-Flash EXL3 2.05bpw on 2x RTX 5090 - TabbyAPI hot-expert swaps, 262K ctx, vision","summary":"GLM-5.3-Flash (321B MoE, ~18B active) turboderp EXL3 2.05bpw on two RTX 5090 + 64 GB DDR5: TabbyAPI on ExLlamaV3 with CPU-offloaded routed experts (96/layer GPU0 layers 3-22+MTP, 102/layer GPU1 23-44), runtime hot-expert swaps, per-GPU expert split, the DSA indexer's per-token rows in a fixed ring, live /metrics token counters, the expert-exchange clock handed to the first text MoE layer so swaps also run at 2-4 streams, MTP head drafting 1 tok/step single-stream, 262,144-token window on an 8-bit KV page pool (~1.6 GiB across 4), vision ON with tower linears pinned in host RAM. Exact-output: no expert skipped, every draft verified. Measured 2026-10-10 (R969, three fresh boots): c1 score 62.9 tok/s (code 59.9/prose 66.7/chat 68.5/html 64.8/edit 53.9), 2/3/4-stream sums 74.4/92.0/98.0. Nine in-repo overlays on the qwen3.8-flash-next-2x-rtx5090 base image.","tier":"community","beta":false,"generation":"blackwell","decode_tok_s":62.89999999999999857891452847979962825775146484375,"prefill_tok_s":2023,"updated_at":"2026-10-29 23:29:37.491895-06","commit_sha":"4dc491797af361a6a0f4cdedde5f7dbeb918082d","content_hash":"66ee933dc865f3362d1e2880b2ef8e330f331b05","votes":0,"credit":[{"name":"adrienbrault (recipe, five patch overlays, measurements)","url":"https://github.com/adrienbrault/glm5.3-flash-2x-rtx5090"},{"name":"zai-org (GLM-5.3-Flash)","url":"https://huggingface.co/zai-org/GLM-5.3-Flash"},{"name":"turboderp (EXL3 2.05bpw quantisation; ExLlamaV3 + CPU MoE offload)","url":"https://huggingface.co/turboderp/GLM-5.3-Flash-exl3"},{"name":"theroyallab (TabbyAPI)","url":"https://github.com/theroyallab/tabbyAPI"},{"name":"adrienbrault/qwen3.8-flash-next-2x-rtx5090 (base image: ExLlamaV3 dev 5783a93 patch stack + TabbyAPI 53da7919)","url":"https://github.com/adrienbrault/qwen3.8-flash-next-2x-rtx5090"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/glm-5-3-flash-exl3-2-05bpw-on-2x-rtx-5090-tabbyapi-hot-expert-sw.json","alternate":"/r/glm-5-3-flash-exl3-2-05bpw-on-2x-rtx-5090-tabbyapi-hot-expert-sw"}},{"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":"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"}}]}