{"meta":{"count":1,"page":1,"pages":1,"per_page":12,"applied":{"engine":null,"model":null,"quant":null,"storage":null,"hardware":"rtx-4090","generation":null,"task":null,"tier":null,"tags":[],"vram":null,"search":null,"sort":"updated","featured":false},"origin":"https://localairecipes.com","openapi":"/openapi.json","updated_at":"2026-11-06T06:35:29+00:00"},"recipes":[{"slug":"qwen3-8-flash-next-iq3-s-mtp-on-1x-rtx-4090-llama-cpp-tandem-cpp","title":"Qwen3.8-Flash-Next IQ3_S + MTP on 1x RTX 4090 \u2014 llama.cpp + tandem.cpp MoE expert cache (ewhacc)","summary":"MoE expert-cache offload for llama.cpp via the tandem.cpp patch set: hot experts stay in a GPU expert cache, missed experts are split between CPU compute and an upload into the cache, sized from measured CPU and PCIe speeds; single-user decode is the target. Author's GSM8K first-200 decode numbers on the consumer PC (i5-12400F, 64 GB DDR4, RTX 4090 24 GB): Qwen3.8-Flash-Next IQ3_S + MTP 97.3 tok/s greedy and 96.1 sampled vs llama.cpp f5222f25c 29.8/29.4 (3.3x); gpt-oss-120b 51.5/48.0. REPRO CAVEAT: all numbers are author-self-reported on a repo <24h old with one commit day of history (initial commit 2026-11-02, no releases/tags); nothing reproduced on-box or by a third party - evidence is claimed, tier community. Requires CUDA 13.0-13.4 on Linux (sm_89/sm_120) and 64 GB host RAM for the 78 GiB IQ3_S weights; 1.4-2.1x gains on other MoE models that don't fit VRAM.","tier":"community","beta":false,"generation":"ada","decode_tok_s":73.7999999999999971578290569595992565155029296875,"prefill_tok_s":0,"updated_at":"2026-11-05 21:54:43.341037-07","commit_sha":"300f519273c795ee02304987aa53a4d9b627caa9","content_hash":"22760edcd24473a759e552f4694c087b3520e997","votes":0,"credit":[{"name":"ewhacc - recipe, patch set and measurements","url":"https://github.com/ewhacc/tandem.cpp"},{"name":"llama.cpp / ggml (MIT)","url":"https://github.com/ggml-org/llama.cpp"},{"name":"MoE expert-split rule adapted from Strata (Niko1221)","url":"https://github.com/Niko1221/Strata"}],"uploaded_by":"localai-recipes","measured":null,"links":{"self":"/api/v1/recipes/qwen3-8-flash-next-iq3-s-mtp-on-1x-rtx-4090-llama-cpp-tandem-cpp.json","alternate":"/r/qwen3-8-flash-next-iq3-s-mtp-on-1x-rtx-4090-llama-cpp-tandem-cpp"}}]}