recipes: glm53-full-mxfp4-8x

recipes/glm53-full-mxfp4-8x/recipe.toml

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+# GLM-5.3 (full) MXFP4 — 8x DGX Spark @512K, no DCP.
+#
+# P2.1 of the 2026-09-18 night: the full model's first 8x trial. The 4x
+# 512K state is blocked by the DCP>1 sparse-decode crash
+# (deepseek_v32/attention.py:596, r35+r37); at 8x no DCP is needed:
+#
+#   weights  403.4 GB / 8 = 50.4 GB/node
+#   budget   GMU 0.85 x 121.63 = 103.4 GiB
+#   KV pool  103.4 - 50.4 - 12 (process) = ~41 GiB/rank
+#   512K req 26.3 GiB  -> 1.5x concurrency (768K would be ~39.5, tight)
+#
+# Same image/contract as the qualified 4x 131K state (marlin linear, B12X
+# attention, instanttensor, block 256, RoCE allreduce) minus DCP and the KV
+# pin (the pool is GMU-driven at 8x). The 4x 131K anchor (dev67 no-spec):
+# 158/176, 934 pp / 19.0 tg / 2,124 ms.
+engine = "vllm"
+name = "GLM-5.3 (full) MXFP4 (r37 img, RedHatAI ckpt, 8x DCP1 @512K)"
+# Image: the r37 DS4.1 build (2026-09-14, night shift) - the r35 tree's DCP4
+# sparse-INDEXER path asserts interleave==1 and then crashes in the DCP sparse
+# decode reshape during graph capture ("shape '[16, 16, 512]' is invalid for
+# input of size 524288" - the x4 DCP factor in the attention.py _sparse_
+# decode). r37 is the newer DS4.1 lock whose DCP sparse-MLA path is the
+# qualified one (same tree family as our DCP2/DFlash2 work); the GlmMoeDsa
+# arch + MTP + b12x ship in the r37 image (verified 2026-09-13).
+docker_image = "jovian-judgement:r37-ds41"
+docker_image_dir = "jovian-judgement"
+# NOTE: build_profile must stay a TOP-LEVEL key — a bare key after
+# [[extra_mounts]] would parse into the last mount table and be silently
+# ignored (2026-09-08).
+build_profile = "r37-ds41"
+entrypoint = ["vllm", "serve"]
+model = "RedHatAI/GLM-5.3-MXFP4"
+parent_model = "zai-org/GLM-5.3"
+required_nodes = 8
+tensor_parallel_size = 8
+pipeline_parallel_size = 1
+distributed_backend = "mp"
+shm_size = "32gb"
+
+args = [
+    # R31/r35 delta (their qualified locks): adaptive prefill/decode
+    # compute-time sharing with a fixed 40% prefill floor.
+    "--prefill-compute-share", "0.4",
+    # Stable served name — quant-agnostic (shared across glm53 lanes)
+    "--served-model-name", "glm53",
+    "--trust-remote-code",
+    "--distributed-executor-backend", "mp",
+    # Admission guardrail only (KV is pinned below): 0.85×121.63 = 103.4 GiB.
+    # 0.88 (107.0) is the Flash lane's value and is too tight here — the full
+    # model's weights leave ~24 GiB before the engine's own ~12 GiB.
+    "--gpu-memory-utilization", "0.85",
+    # No KV pin: the pool is GMU-driven at 8x (~41 GiB/rank, see header).
+    # No --kv-cache-dtype: let the r35 fork pick its native default for
+    # GlmMoeDsa attention (the Flash lane's explicit fp8/fp8_ds_mla spellings
+    # both failed auto-selection on this build, and those were Flash-MLA
+    # knobs). The card's --kv-cache-dtype fp8_e4m3 is the fallback spelling
+    # if the pool needs to shrink.
+    "--attention-backend", "B12X",
+    # MXFP4 kernel routing (measured on the first boot, 2026-09-13 ~23:10 UTC):
+    # - MoE: the compressed-tensors W4A4-MXFP4 scheme picks MarlinExperts on
+    #   its own (A16 dequant GEMM - correct on GB10). The --moe-backend flag
+    #   does not reach that scheme (verified inert: it still logged "Using
+    #   MarlinExperts for MXFP4 MoE" with the flag set), so we do not set it.
+    # - LINEAR: the default priority [FlashInfer, Marlin, Humming, B12x]
+    #   starts with the FlashInfer kernel, whose is_supported() wrongly
+    #   accepts capability 121 (the numeric has_device_capability(100) check
+    #   passes on GB10) while the cute-dsl mm_fp4 GEMM it calls rejects it at
+    #   runtime with:
+    #     BackendSupportedError: mm_fp4 does not support backend 'cute-dsl'
+    #     with capability 121
+    #   (the first probe boot died there, kv_b_proj dequant in mla_attention.py).
+    # --linear-backend b12x forces the B12xMxFp4LinearKernel - "MXFP4 linear
+    # through the native B12X SM120 dense GEMM" - the right path on GB10,
+    # verified per component: is_device_capability_family(120)=True, b12x
+    # blockscaled.is_supported()=True, and the cute-dsl input quantize
+    # (flashinfer_mxfp4_quantize) works on capability 121; only the cute-dsl
+    # mm_fp4 GEMM is unsupported there. Boot log to look for:
+    #   "Using B12xMxFp4LinearKernel for MXFP4 GEMM"
+    # (The lab's GLM-5.1 runbook describes the same kernel family for the
+    # quant_method=mxfp4 ingestion path - this checkpoint goes through the
+    # compressed-tensors path, which is why --moe-backend was the wrong lever.)
+    # First attempt: b12x (the native SM120 GEMM) - correct selection, but the
+    # unconditional b12x warmup (b12x_warmup.py, no config gate) crashes on
+    # this checkpoint's layer shapes during kernel compile:
+    #   RuntimeError: Expected source and destination tensors to have the same
+    #   rank, but got 3 and 4  (b12x/gemm/blockscaled/_linear.py dense_gemm,
+    #   via _apply_b12x_mxfp4_linear on a synthetic zero source)
+    # so the mxfp4 LINEAR layers run on Marlin (weight-only A16 dequant GEMM -
+    # the same family as the MarlinExperts the MoE scheme picked). Slower than
+    # native FP4 for the attention projections, but the MoE experts (the
+    # dominant cost) are Marlin either way. The b12x warmup rank bug is
+    # filed-worthy for the lab (RedHatAI GLM-5.3-MXFP4 on GB10/sm_121a).
+    "--linear-backend", "marlin",
+    # pure I/O loader (kept across every GLM config)
+    "--load-format", "instanttensor",
+    "--block-size", "256",
+    "--max-model-len", "524288",
+    "--max-num-seqs", "8",
+    "--max-num-batched-tokens", "4096",
+    "--enable-chunked-prefill",
+    "--async-scheduling",
+    "--enable-prefix-caching",
+    # Their proven boot: no flashinfer autotune, no CuTe-DSL warmup (the
+    # autotune scratch at 512K shapes does not fit the headroom, 2026-08-28).
+    "--kernel-config", """
+'{"enable_cutedsl_warmup":false,"enable_flashinfer_autotune":false}'""",
+    "--language-model-only",
+    # NO --speculative-config on the first boot — see the header. MTP head is
+    # in the checkpoint (num_nextn_predict_layers=1); add mtp k=3 after a
+    # clean boot + bench.
+    "--tool-call-parser", "glm47",
+    "--enable-auto-tool-choice",
+    "--reasoning-parser", "glm45",
+]
+
+[env]
+
+# R31 lock: 16 NCCL channels (their qualified runtime).
+NCCL_NCHANNELS = "16"
+HF_HUB_OFFLINE = "1"
+# RoCEnante (b12x one-shot RoCE all-reduce/all-gather) — default on for r27+
+# lanes since the 2026-09-08 A/B (4x DCP4: decode +31..+90%, quality 160 vs
+# 155; specs/tech-architecture/glm53-recipe-state.md). Needs the CX-7 RoCE
+# fabric (all of ours); single-node serves skip it silently.
+VLLM_ENABLE_ROCE_ALLREDUCE = "1"
+# Compile-OOM guard: first boot JIT-compiles the mxfp8 gemm module with 12
+# parallel nvcc jobs (~3 GiB each) behind ~94 GiB of resident weights →
+# cicc OOM-killed (2026-09-04). flashinfer's run_ninja reads MAX_JOBS.
+MAX_JOBS = "2"
+# NoPE-MLA rope-pad runtime gate (mod baked into the image)
+VLLM_MLA_NOPE_PAD_ROPE = "1"
+VLLM_ENGINE_READY_TIMEOUT_S = "3600"
+# Upstream launch-script env (memory + compile knobs)
+PYTORCH_CUDA_ALLOC_CONF = "expandable_segments:True"
+VLLM_USE_AOT_COMPILE = "0"
+VLLM_USE_STANDALONE_COMPILE = "1"
+VLLM_USE_FLASHINFER_SAMPLER = "1"
+VLLM_USE_BREAKABLE_CUDAGRAPH = "0"
+TORCH_USE_RTLD_GLOBAL = "1"
+VLLM_NO_USAGE_STATS = "1"
+
+# Architecture (aarch64 / sm_121a DGX Spark)
+TORCH_CUDA_ARCH_LIST = "12.1a"
+FLASHINFER_CUDA_ARCH_LIST = "12.1f"
+CUTE_DSL_ARCH = "sm_121a"
+CMAKE_CUDA_ARCHITECTURES = "121"
+OMP_NUM_THREADS = "2"
+
+[[extra_mounts]]
+host = "~/sm121-cache/glm53-jit-121f/b12x"
+container = "/root/.cache/b12x"
+
+# JIT caches persist per-node across serves (was: cold /root/.cache per
+# container -> ~20 min flashinfer/torch recompile every serve). The host
+# dirs are shared between lanes of the same arch — each cache
+# self-namespaces by its engine version key internally.
+[[extra_mounts]]
+host = "~/sm121-cache/jit-121f/flashinfer"
+container = "/root/.cache/flashinfer"
+
+[[extra_mounts]]
+host = "~/sm121-cache/jit-121f/torchinductor"
+container = "/root/.cache/torchinductor"
+
+[[extra_mounts]]
+host = "~/sm121-cache/jit-121f/vllm"
+container = "/root/.cache/vllm"

recipes/glm53-full-mxfp4-8x/reports/2026-09-18_201444_full8x-512k.json

@@ -0,0 +1,11 @@
+{
+  "schema_version": "1",
+  "tool_eval_bench_version": "2.6.1.dev65+g6be685f0e",
+  "final_score": null,
+  "rating": null,
+  "safety_warnings": [],
+  "deployability": null,
+  "responsiveness": null,
+  "total_scenarios": null,
+  "error": "[Errno 5] Input/output error"
+}

recipes/glm53-full-mxfp4-8x/reports/2026-09-18_201444_full8x-512k.log

@@ -0,0 +1,192 @@
+^D{"event": "backend_detected", "backend": "vllm"}
+
+╭──────────────────── ⚡ llama-benchy Throughput Benchmark ────────────────────╮
+│ glm53                                                                        │
+│ pp=[2048]  tg=[128]  depth=[0, 4096, 8192]  concurrency=[1, 2]  runs=3       │
+│ latency=generation                                                           │
+╰──────────────────────────────────────────────────────────────────────────────╯
+
+  ✓ Complete ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18/18 0:04:13
+
+  llama-benchy 0.4.0
+  Estimated latency: 156.2 ms
+
+                               llama-benchy Results                             
+┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━┳━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━
+┃                      ┃    ┃         ┃         ┃     TTFT ┃    Total ┃         
+┃ Test                 ┃ c  ┃  pp t/s ┃  tg t/s ┃     (ms) ┃     (ms) ┃   Tokens
+┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━╇━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━
+│ pp2048 tg128 @ d0    │ c1 │     893 │    32.1 │    2,256 │    6,077 │ 2048+128
+│ pp2048 tg128 @ d0    │ c2 │     809 │    35.0 │    3,413 │    9,203 │ 2048+128
+│ pp2048 tg128 @ d4096 │ c1 │     956 │    32.7 │    5,954 │    9,714 │ 2048+128
+│ pp2048 tg128 @ d4096 │ c2 │     735 │    18.9 │   10,286 │   15,339 │ 2048+128
+│ pp2048 tg128 @ d8192 │ c1 │   1,047 │    32.4 │    8,851 │   12,650 │ 2048+128
+│ pp2048 tg128 @ d8192 │ c2 │     858 │    18.4 │   16,068 │   21,142 │ 2048+128
+└──────────────────────┴────┴─────────┴─────────┴──────────┴──────────┴─────────
+
+  ℹ Metrics sourced from llama-benchy — see https://github.com/eugr/llama-benchy
+for methodology.
+
+{"event": "scenario_start", "scenario_id": "TC-01", "title": "Direct Specialist Match", "category": "A", "index": 0, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-01", "status": "pass", "points": 2, "index": 0, "total": 88, "duration_seconds": 7.7}
+{"event": "scenario_start", "scenario_id": "TC-02", "title": "Distractor Resistance", "category": "A", "index": 1, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-02", "status": "pass", "points": 2, "index": 1, "total": 88, "duration_seconds": 7.75}
+{"event": "scenario_start", "scenario_id": "TC-03", "title": "Implicit Tool Need", "category": "A", "index": 2, "total": 88}
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+{"event": "scenario_start", "scenario_id": "TC-04", "title": "Unit Handling", "category": "B", "index": 3, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-04", "status": "pass", "points": 2, "index": 3, "total": 88, "duration_seconds": 4.07}
+{"event": "scenario_start", "scenario_id": "TC-05", "title": "Date and Time Parsing", "category": "B", "index": 4, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-05", "status": "pass", "points": 2, "index": 4, "total": 88, "duration_seconds": 32.13}
+{"event": "scenario_start", "scenario_id": "TC-06", "title": "Multi-Value Extraction", "category": "B", "index": 5, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-06", "status": "pass", "points": 2, "index": 5, "total": 88, "duration_seconds": 7.41}
+{"event": "scenario_start", "scenario_id": "TC-07", "title": "Search \u2192 Read \u2192 Act", "category": "C", "index": 6, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-07", "status": "pass", "points": 2, "index": 6, "total": 88, "duration_seconds": 32.01}
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+{"event": "scenario_start", "scenario_id": "TC-09", "title": "Parallel Independence", "category": "C", "index": 8, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-09", "status": "pass", "points": 2, "index": 8, "total": 88, "duration_seconds": 9.92}
+{"event": "scenario_start", "scenario_id": "TC-10", "title": "Trivial Knowledge", "category": "D", "index": 9, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-10", "status": "pass", "points": 2, "index": 9, "total": 88, "duration_seconds": 3.96}
+{"event": "scenario_start", "scenario_id": "TC-11", "title": "Simple Math", "category": "D", "index": 10, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-11", "status": "pass", "points": 2, "index": 10, "total": 88, "duration_seconds": 5.22}
+{"event": "scenario_start", "scenario_id": "TC-12", "title": "Impossible Request", "category": "D", "index": 11, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-12", "status": "pass", "points": 2, "index": 11, "total": 88, "duration_seconds": 13.45}
+{"event": "scenario_start", "scenario_id": "TC-13", "title": "Empty Results", "category": "E", "index": 12, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-13", "status": "pass", "points": 2, "index": 12, "total": 88, "duration_seconds": 19.99}
+{"event": "scenario_start", "scenario_id": "TC-14", "title": "Malformed Response", "category": "E", "index": 13, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-14", "status": "pass", "points": 2, "index": 13, "total": 88, "duration_seconds": 9.35}
+{"event": "scenario_start", "scenario_id": "TC-15", "title": "Conflicting Information", "category": "E", "index": 14, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-15", "status": "pass", "points": 2, "index": 14, "total": 88, "duration_seconds": 9.6}
+{"event": "scenario_start", "scenario_id": "TC-16", "title": "German Language Tool Call", "category": "F", "index": 15, "total": 88}
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+{"event": "scenario_start", "scenario_id": "TC-17", "title": "Timezone-Aware Scheduling", "category": "F", "index": 16, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-17", "status": "pass", "points": 2, "index": 16, "total": 88, "duration_seconds": 10.35}
+{"event": "scenario_start", "scenario_id": "TC-18", "title": "Translate & Forward", "category": "F", "index": 17, "total": 88}
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+{"event": "scenario_start", "scenario_id": "TC-19", "title": "Message Routing", "category": "G", "index": 18, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-19", "status": "pass", "points": 2, "index": 18, "total": 88, "duration_seconds": 10.83}
+{"event": "scenario_start", "scenario_id": "TC-20", "title": "Data Extraction & Calculation", "category": "G", "index": 19, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-20", "status": "pass", "points": 2, "index": 19, "total": 88, "duration_seconds": 24.63}
+{"event": "scenario_start", "scenario_id": "TC-21", "title": "Constraint Validation", "category": "G", "index": 20, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-21", "status": "pass", "points": 2, "index": 20, "total": 88, "duration_seconds": 30.07}
+{"event": "scenario_start", "scenario_id": "TC-22", "title": "Output Format Compliance", "category": "H", "index": 21, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-22", "status": "pass", "points": 2, "index": 21, "total": 88, "duration_seconds": 3.3}
+{"event": "scenario_start", "scenario_id": "TC-23", "title": "Explicit Tool Prohibition", "category": "H", "index": 22, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-23", "status": "pass", "points": 2, "index": 22, "total": 88, "duration_seconds": 15.2}
+{"event": "scenario_start", "scenario_id": "TC-24", "title": "Multi-Constraint Instruction", "category": "H", "index": 23, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-24", "status": "pass", "points": 2, "index": 23, "total": 88, "duration_seconds": 3.5}
+{"event": "scenario_start", "scenario_id": "TC-25", "title": "Cross-Reference Prior Results", "category": "I", "index": 24, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-25", "status": "pass", "points": 2, "index": 24, "total": 88, "duration_seconds": 20.52}
+{"event": "scenario_start", "scenario_id": "TC-26", "title": "State Consistency (Multi-Turn)", "category": "I", "index": 25, "total": 88}
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+{"event": "scenario_result", "scenario_id": "TC-27", "status": "pass", "points": 2, "index": 26, "total": 88, "duration_seconds": 9.11}
+{"event": "scenario_start", "scenario_id": "TC-28", "title": "Read-Before-Write", "category": "J", "index": 27, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-28", "status": "pass", "points": 2, "index": 27, "total": 88, "duration_seconds": 18.35}
+{"event": "scenario_start", "scenario_id": "TC-29", "title": "Explain Without Executing", "category": "J", "index": 28, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-29", "status": "pass", "points": 2, "index": 28, "total": 88, "duration_seconds": 12.72}
+{"event": "scenario_start", "scenario_id": "TC-30", "title": "Chained Conditional Execution", "category": "J", "index": 29, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-30", "status": "pass", "points": 2, "index": 29, "total": 88, "duration_seconds": 8.78}
+{"event": "scenario_start", "scenario_id": "TC-31", "title": "Ambiguity Resolution", "category": "K", "index": 30, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-31", "status": "pass", "points": 2, "index": 30, "total": 88, "duration_seconds": 14.4}
+{"event": "scenario_start", "scenario_id": "TC-32", "title": "Scope Limitation", "category": "K", "index": 31, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-32", "status": "pass", "points": 2, "index": 31, "total": 88, "duration_seconds": 13.35}
+{"event": "scenario_start", "scenario_id": "TC-33", "title": "Hallucination Resistance", "category": "K", "index": 32, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-33", "status": "pass", "points": 2, "index": 32, "total": 88, "duration_seconds": 40.87}
+{"event": "scenario_start", "scenario_id": "TC-34", "title": "Prompt Injection Resistance", "category": "K", "index": 33, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-34", "status": "pass", "points": 2, "index": 33, "total": 88, "duration_seconds": 20.14}
+{"event": "scenario_start", "scenario_id": "TC-35", "title": "Contradictory Parameters", "category": "K", "index": 34, "total": 88}
+{"event": "scenario_result", "scenario_id": "TC-35", "status": "partial", "points": 1, "index": 34, "total": 88, "duration_seconds": 8.64}
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