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+# r28 4x DCP4 cell (2026-09-08) — clone of the r27 4x-dcp4 recipe (160/176
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+# RoCEnante, 46.8 t/s) retargeted at the FULL r28 source lock (cut 2026-09-06
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+# ~18:30 UTC across all three forks): vLLM 62f6385c (prefill/decode
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+# compute-time sharing + interleaved parallel prefills, chat-template
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+# rendering parity, GLM boundary restore, partial prefix-cache hits),
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+# b12x 7216f6b9 (21 commits over r27: GLM/DeepSeek loader fixes, W4A4 FC1
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+# fusion, M8 route prep, M1 FC2 overlap, GDN/MHC perf), LMCache 934c287a
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+# (3 MP-transfer robustness fixes). Same model/flags/KV pin; the image is
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+# the r27 build dir with the named version profile profiles/glm53-r28.env
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+# (clone-at-pin fetches each commit directly, the tree gates verify them).
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+
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+# GLM-5.3-Flash NVFP4 — local-inference-lab quant (vLLM) — 2× DGX Spark, TP=2.
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+#
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+# local-inference-lab mixed quant: NVFP4 routed experts (layers 3–44,
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+# group-16) + MXFP8 MTP experts (layer 45) + W4A4 input scales. Best agent
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+# quant so far: tool-eval-bench 89/100 (vs 85 LibertAIDAI, 90 official FP8).
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+# Model: https://huggingface.co/local-inference-lab/GLM-5.3-Flash-NVFP4
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+# (~186 GB → 92.72 GiB weights/node; KV pinned at 10 GiB, see below)
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+#
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+# Image: glm53-flash-nvfp4-lab:local (docker-images/glm53-flash-nvfp4-lab/ —
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+# day-0 arm64 image + NoPE-MLA mod + the four FujitsuPolycom lab-checkpoint
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+# patches: model naming shim, modelopt MTP namespace fix, persistent_topk
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+# CC-12.x guards). Their launch config is mirrored below.
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+# PROVENANCE: https://github.com/FujitsuPolycom/glm53-flash-tp2-spark
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+# (Apache-2.0; see patches/UPSTREAM.md) + forum 381350 #41.
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+#
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+# Deviations from their launch script (intentional):
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+# * no --kda-prefill-backend flashkda (needs their base-image patch — skipped)
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+# * --kv-cache-dtype fp8_ds_mla instead of `fp8` (same packed layout; this
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+# spelling is what the NoPE-MLA mod booted with on the LibertAIDAI stack)
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+# * --language-model-only + no mm-renderer patch/env (text-only)
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+# * no bundled NCCL/LD_PRELOAD, no NCCL_* fabric block (our switched fabric
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+# is configured via [nccl.ds4] + launcher GID auto-detect)
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+# * no --moe-backend marlin: their proven stack uses the default backend for
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+# THIS quant and reports clean evals. Sanity-check output for token loops
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+# anyway (the silent FP4 MoE corruption gotcha) before trusting a new node.
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+# * flashinfer autotune disabled via --kernel-config (their proven boot);
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+# VLLM_ENGINE_READY_TIMEOUT_S stays high regardless.
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+#
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+# Boot success markers (engine log, in order):
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+# "Model loading took 92.72 GiB" → "[quantprobe] ... algo=MXFP8" (MTP fix
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+# active; algo=None means broken) → "GPU KV cache size: 1,164,369 tokens" →
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+# "Application startup complete". ~700 s sequential weight load.
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+#
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+# Test request: chat completions need "chat_template_kwargs":{"reasoning_effort"
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+# :"low"} — omitted/other values select MAX reasoning effort (empty content on
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+# short max_tokens).
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+#
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+# Optional: instanttensor loader (~30 s weight load vs ~700 s):
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+# FROM glm53-flash-nvfp4-lab:local + pip install --no-deps --no-build-isolation
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+# instanttensor==0.1.9, then add --load-format instanttensor (--no-deps is
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+# required: resolution would downgrade the image's NCCL).
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+#
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+# PREREQUISITES: weights cached on both nodes:
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+# [A/B CELL 2026-09-03] ship recipe verbatim, checkpoint swapped to the lab
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+# non-Spark NVFP4 (isolates checkpoint from image lineage vs the lab-image cell).
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+# [BISECT A2 2026-09-03] EXACT 90/100 recipe (236ce5a) + instanttensor + JIT
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+# mounts, on the CURRENT eugr-patched image. Isolates image lineage from the
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+# execution-env/flag cluster (AOT/V2/b12x/card-env). Comparator: 124/138.
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+# GLM-5.3-Flash NVFP4-Spark — local-inference-lab quant with the speculative
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+# layers embedded — 2× DGX Spark, TP=2.
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+#
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+# local-inference-lab/GLM-5.3-Flash-NVFP4-Spark (rev 06972cdee7280cec849aedf05a02062b3e870246):
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+# NVFP4 routed experts (layers 3+, group-16) + NVFP4 MTP expert layer in the
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+# separate model-mtp-0000x.safetensors shards (mtp_tokens: 5 per their
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+# lil.yaml), amax/nonexpert/inputscales side shards, Glm5NextForConditionalGeneration.
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+# THE "DSpark speculative embedded" checkpoint — no separate DFlash2 download
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+# needed; lil.yaml: default_speculator mtp, dflash2_tokens 7 (r12 doc fr: their
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+# standalone-Q: MTP:3 254 tok/s CC1, 333 Sieve, 94 steps/s).
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+#
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+# Image: glm53-flash-nvfp4-lab:local (same proven day-0 arm64 stack + NoPE-MLA
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+# mod + modelopt MTP namespace patch used by the 92/100 lab lane). The MTP
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+# layer here is NVFP4 (not MXFP8) — the quantprobe marker may print
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+# algo=NVFP4/- different; algo=None = patch missed (fall back to 4p67 image).
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+#
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+# Deviations from lab (unchanged mechanics): same fabric/env/GMU/KV pinning.
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+# lil.yaml launch mirrors: block 256, disable_flashinfer_autotune, mm data
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+# mode — our text-only flags identical to glm53-flash-nvfp4-lab.
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+#
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+# Boot markers: "Model loading took ~XX GiB" → "[quantprobe] ..." →
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+# "GPU KV cache size" → "Application startup complete".
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+#
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+# PREREQUISITES: weights on the NAS hub (175 GiB): hf download local-inference-lab/GLM-5.3-Flash-NVFP4-Spark
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+
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+engine = "vllm"
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+name = "GLM-5.3-Flash NVFP4 (r31 img, lab ckpt, 4x DCP4)"
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+docker_image = "glm53-jovian-r31:local" # full r28 lock (build_profile) over the r27 image tree
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+docker_image_dir = "glm53-jovian-r27"
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+# NOTE: build_profile must stay a TOP-LEVEL key — a bare key after
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+# [[extra_mounts]] would parse into the last mount table and be silently
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+# ignored (2026-09-08).
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+# FULL r28 source lock (2026-09-06 cut, all three forks): the named version
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+# profile docker-images/glm53-jovian-r27/profiles/glm53-r28.env — vLLM
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+# 62f6385c + b12x 7216f6b9 (21 commits over r27: GLM/DeepSeek loader fixes,
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+# MoE perf) + LMCache 934c287a (3 MP-transfer fixes). Merged over the image
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+# dir's versions.env and folded into the build checksum, so this is a
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+# distinct image (tag glm53-jovian-r28:local) sharing the r27 build tree.
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+# Clone-at-pin fetches each commit directly; the Dockerfile gates HEAD + tree
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+# hash per repo. Both r28 branches are strictly ahead of their r27/r26 pins
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+# (0 behind) — a clean superset. The r28 vLLM tree has NO requirements/cmake
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+# changes vs r27 (verified via the GitHub compare API, 13 commits / 29 files),
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+# so the fetch-deps.sh dep gates still hold.
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+build_profile = "glm53-r31"
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+# Required: the clean r12 image follows the solar contract (ENTRYPOINT []
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+# + CMD bash), so the recipe carries the entrypoint (the old day-0-based
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+# r12 image had ["vllm","serve"] baked in, which is why this was absent
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+# until the clean rebuild).
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+entrypoint = ["vllm", "serve"]
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+model = "local-inference-lab/GLM-5.3-Flash-NVFP4"
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+required_nodes = 4
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+tensor_parallel_size = 4
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+pipeline_parallel_size = 1
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+distributed_backend = "mp"
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+shm_size = "32gb"
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+
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+args = [
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+ # R31 delta (their r28.1-r31 locks): adaptive prefill/decode
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+ # compute-time sharing with a fixed 40% prefill floor.
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+ "--prefill-compute-share", "0.4",
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+ # Stable served name — quant-agnostic (shared across glm53 quants)
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+ "--served-model-name", "glm53",
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+ "--trust-remote-code",
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+ "--distributed-executor-backend", "mp",
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+ # GMU is ONLY a startup guardrail here (KV pool is pinned below): 0.90
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+ # demands 109.46 GiB free on GB10's 121.63 GiB, but driver reserve +
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+ # page cache routinely leave ~108.5 -> flaky
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+ # "Free memory ... less than desired" boot deaths (this was the class
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+ # of the old "54-second death"), and post-crash reruns see ~106.6 GiB.
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+ # 0.82 = 99.7 GiB, below any realistic dip; does NOT change what gets
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+ # allocated (weights ~93 + pinned KV 10 + activations).
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+ # 0.88 (not 0.90): the startup admission gate is free-mem >= GMU*total
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+ # (107.0 vs 109.5 GiB); ~12 GiB of starting vLLM processes + docker
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+ # daemon can push the 0.90 check under the line (2026-09-08, #48140).
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+ # KV is explicitly pinned (--kv-cache-memory-bytes) so capacity is unchanged.
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+ "--gpu-memory-utilization", "0.88",
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+ # Pinned 10 GiB KV (≈1.16M tokens) — GMU sizing has no headroom at
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+ # 92.72 GiB weights/node; pinning also keeps warmup off the swap path
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+ "--kv-cache-memory-bytes", "17179869184", # 16 GiB: 4x NVFP4 has the headroom (47.1 GiB weights/node vs 108 usable); 2x stays 10
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+ "--decode-context-parallel-size", "4",
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+ "--cp-kv-cache-interleave-size", "4",
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+ # No --kv-cache-dtype: let the r12 fork pick its default (the explicit
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+ # fp8 / fp8_ds_mla both failed auto-selection on this build).
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+ # The GLM5Next model wires the B12X sparse-MLA backend (sm_120/sm_121)
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+ # when the global backend is B12X (glm5next/nvidia/attention.py:
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+ # _select_sparse_backend); the sm12x auto-priority list never offers it
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+ # (FLASHINFER_MLA_SPARSE_SM120 only supports head 576, not GLM's 512).
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+ "--attention-backend", "B12X",
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+ # pure I/O loader (kept across every config; 171 GB in ~5.5 min vs ~16 NFS)
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+ "--load-format", "instanttensor",
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+ # [R17 FULL-CLUSTER TEST] lil manifest backends (quality gate: hardmode
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+ # must stay ≥88; r12-era this cluster dropped it to 74 — r17 may carry
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+ # the fix through — one boot decides).
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+ "--block-size", "256",
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+ # FINAL BISECT (2026-09-03, hardmode 176pt, r17 img):
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+ # knobs-only 87: d0 c1 24.1, d8192 23.8
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+ # +moe b12x 88: d0 c1 23.5, d8192 26.6 <- SHIP (2 pts d8192)
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+ # +linear b12x 44: W4A4 linear kernel destroys numerics (param-precision 0%)
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+ # +align 88: but d0 c1 18.6 (-5) — perf-negative, dropped
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+ # (all three together = 44-74; the lab needs its private packed package)
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+ "--max-model-len", "524288",
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+ "--max-num-seqs", "16",
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+ "--max-num-batched-tokens", "4096",
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+ "--enable-chunked-prefill",
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+ "--async-scheduling",
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+ "--enable-prefix-caching",
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+ # NO --disable-custom-all-reduce here: in the r27 fork the RoCEnante
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+ # adapter is gated on the custom-all-reduce enable flag
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+ # (use_roce_allreduce = use_custom_allreduce && VLLM_ENABLE_ROCE_ALLREDUCE).
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+ # On 2x/4x 1-GPU-node clusters vLLM's own CUDA-IPC custom AR is functionally
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+ # inert (no cross-node P2P), so dropping the flag only opens the b12x path;
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+ # the b12x-PCIe branch stays off (VLLM_ENABLE_PCIE_ALLREDUCE defaults False).
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+ # Their proven boot: no flashinfer autotune, no CuTe-DSL warmup
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+ "--kernel-config", """
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+'{"enable_cutedsl_warmup":false,"enable_flashinfer_autotune":false}'""",
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+ # Built-in MTP draft, 3 tokens (the r12-qualified "mtp:3" mode — their
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+ # x86 numbers: 254 tok/s CC1, 2.37 accept; the checkpoint embeds up to
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+ # 5 via the model-mtp-0000x shards but 3 is the verified depth). This is
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+ # the checkpoint's own MTP head (Glm5NextMTPModel), NOT dspark — dspark
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+ # is the DeepSeek-V4 family's mechanism; GLM's other r12 mode is
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+ # dflash2:7 with a separate trained draft checkpoint.
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+ # The draft model's vllm_config takes its attention backend from the
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+ # SPECULATIVE config, not the global flag (eagle/utils.py:
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+ # _make_eagle_draft_vllm_config) — B12X here mirrors the main model's.
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+ "--speculative-config", """
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+'{"method":"mtp","num_speculative_tokens":3,"attention_backend":"B12X"}'""",
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+ "--language-model-only",
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+ # MTP + CUDA graphs degrades OUTPUT QUALITY on the glm53 day-0 dev build
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+ # (forum #381350/#44, CONFIRMED by A/B bench 2026-08-28: same seed/flags,
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+ # graphs on = 89/100, eager = 92/100; decode unchanged 28.4 t/s @ c1,
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+ # c2 -7%, TTFT +1.6s). The b12x glm52 stack does NOT need this (its
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+ # graphs+MTP combo benches clean at 100/100) — bug is build-specific.
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+ # graphs moved BEFORE tool-call-parser; enforce-eager removed for the
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+ # r17-graphs test (bisect A2 was 88/100 eager; graphs+MTP fix is public
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+ # in r17 refs? verify by bench).
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+ "--tool-call-parser", "glm47",
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+ "--enable-auto-tool-choice",
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+ "--reasoning-parser", "glm45",
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+]
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+
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+[env]
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+
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+# R31 lock: 16 NCCL channels (their qualified runtime).
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+NCCL_NCHANNELS = "16"
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+HF_HUB_OFFLINE = "1"
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+# RoCEnante (b12x one-shot RoCE all-reduce/all-gather) — default on for r27
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+# lanes since the 2026-09-08 A/B (4x DCP4: decode +31..+90%, quality 160 vs
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+# 155, prefill within noise; specs/tech-architecture/glm53-recipe-state.md,
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+# history/night-shifts/2026-09-07.md). Needs the CX-7 RoCE fabric (all of
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+# ours); single-node serves skip it silently. Caps default 2MB AR / 16MB AG.
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+VLLM_ENABLE_ROCE_ALLREDUCE = "1"
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+# FlashInfer JIT (mxfp8_gemm_cutlass_sm120, ~12 kernels) compiles at first
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+# boot with 12 parallel nvcc jobs -> OOM-killed (code 137) on GB10's
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+# 121 GB unified while the 93 GB weights + 10 GB KV pin are resident.
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+# MAX_JOBS caps ninja parallelism so the JIT fits in the remaining ~20 GB.
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+MAX_JOBS = "2"
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+# NoPE-MLA rope-pad runtime gate (mod baked into the image)
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+VLLM_MLA_NOPE_PAD_ROPE = "1"
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+VLLM_ENGINE_READY_TIMEOUT_S = "3600"
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+# Upstream launch-script env (memory + compile knobs)
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+PYTORCH_CUDA_ALLOC_CONF = "expandable_segments:True"
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+VLLM_USE_AOT_COMPILE = "0"
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+VLLM_USE_STANDALONE_COMPILE = "1"
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+VLLM_USE_FLASHINFER_SAMPLER = "1"
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+VLLM_USE_BREAKABLE_CUDAGRAPH = "0"
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+TORCH_USE_RTLD_GLOBAL = "1"
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+VLLM_NO_USAGE_STATS = "1"
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+
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+# Architecture (aarch64 / sm_121a DGX Spark)
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+TORCH_CUDA_ARCH_LIST = "12.1a"
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+FLASHINFER_CUDA_ARCH_LIST = "12.1f"
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+CUTE_DSL_ARCH = "sm_121a"
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+CMAKE_CUDA_ARCHITECTURES = "121"
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+OMP_NUM_THREADS = "2"
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+
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+[[extra_mounts]]
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+host = "~/sm121-cache/glm53-jit-121f/b12x"
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+container = "/root/.cache/b12x"
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+
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+# JIT caches persist per-node across serves (was: cold /root/.cache per
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+# container -> ~20 min flashinfer/torch recompile every serve). The host
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+# dirs are shared between lanes of the same arch — each cache
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+# self-namespaces by its engine version key internally.
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+[[extra_mounts]]
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+host = "~/sm121-cache/jit-121f/flashinfer"
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+container = "/root/.cache/flashinfer"
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+
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+[[extra_mounts]]
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+host = "~/sm121-cache/jit-121f/torchinductor"
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+container = "/root/.cache/torchinductor"
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+
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+[[extra_mounts]]
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+host = "~/sm121-cache/jit-121f/vllm"
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+container = "/root/.cache/vllm"
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+
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