launcher/recipes/dsv41-flash-eugr-0913-4x/recipe.toml

# DeepSeek-V4.1-Flash — eugr b12x nightly-20260913 (lab `dev/infernal-invocation`), 4x.
#
# P1.2 of the 2026-09-18 night: the r37 typo A/B. r37 (09-13, vllmc687594b8a8)
# garbled DS4.1 text in the morning bisect (A/B/C: flags excluded; D infeasible
# — engram-off 4x OOMs, the table is part of the weights and only fits in DRAM
# at 8x). This runs the lab's NEWER published b12x build (09-13 DockerHub, cut
# from dev/infernal-invocation — newer than r37's 3fb88fdf tree) with the SAME
# measured r37 contract (GMU 0.88, 512K, DCP1, block 256, B12X attn/linear/moe,
# K7 greedy/adaptive, engram disk, instanttensor/lazy). Garbled -> the r37
# garbling is a lab-tree trait (not our build); clean -> r37-specific
# regression (file the exact bisect with the lab).
#
# Image already pulled on dgx1-4 (24.5 GB). Same model/weights/engram staging
# as the r37 recipe (NAS snapshot + per-node /var/tmp/engram-local hardlinks).
engine = "vllm"
name = "DeepSeek-V4.1-Flash (eugr b12x 0913 = lab dev/infernal-invocation, 4x DCP1, DSpark K7)"
docker_image = "eugr/spark-vllm-b12x:nightly-20260913"  # prebuilt (no docker_image_dir)
model = "deepseek-ai/DeepSeek-V4.1-Flash"
parent_model = "deepseek-ai/DeepSeek-V4.1-Flash"
required_nodes = 4
tensor_parallel_size = 4
pipeline_parallel_size = 1
distributed_backend = "mp"
shm_size = "32gb"
# Our r27 build dir images ship with ENTRYPOINT [] — set it explicitly.
entrypoint = ["vllm", "serve"]

args = [
    "--served-model-name", "dsv41",
    "--trust-remote-code",
    "--distributed-executor-backend", "mp",
    # GB10 startup-gate value (see header); KV pool is engine-computed from
    # the remainder (no pin — their profile pins nothing either).
    "--gpu-memory-utilization", "0.88",
    # 512K context (our floor — their qualified 131K is not usable for us;
    # the KV pool is engine-computed from the memory budget, unchanged):
    "--max-model-len", "524288",
    "--decode-context-parallel-size", "1",
    "--max-num-seqs", "4",
    "--max-num-batched-tokens", "4096",
    "--prefill-compute-share", "0.4",
    "--block-size", "256",
    "--enable-chunked-prefill",
    "--enable-prefix-caching",
    "--kv-cache-dtype", "fp8",
    "--attention-backend", "B12X",
    "--linear-backend", "b12x",
    "--moe-backend", "b12x",
    "--compilation-config", """
'{"cudagraph_mode":"FULL_AND_PIECEWISE"}'""",
    "--max_cudagraph_capture_size", "128",
    # Native DSpark K7 — the draft weights live inside the target checkpoint
    # (no separate draft repo). Greedy draft, standard rejection, adaptive
    # verification (the lab's r36 qualified trio vs our prod's K5
    # probabilistic/block).
    "--speculative-config", """
'{"method":"dspark","num_speculative_tokens":7,"draft_tensor_parallel_size":4,"attention_backend":"B12X","draft_sample_method":"greedy","rejection_sample_method":"standard","enable_adaptive_verification":true}'""",
    # Engram: the model's 196B learned ngram lookup storage. disk mode =
    # io_uring reads of the table rows from the checkpoint dir (bounded
    # staging; NOT pinned RAM). cpu_offload stays false (no generic CPU
    # model offload).
    "--engram-config", """
'{"cpu_offload":false,"table_memory":"disk"}'""",
    "--load-format", "instanttensor",
    "--safetensors-load-strategy", "lazy",
    "--generation-config", "vllm",
    "--override-generation-config", """
'{"temperature":1.0,"top_p":0.95}'""",
    "--limit-mm-per-prompt", """
'{"image":2}'""",
    "--reasoning-parser", "deepseek_v41",
    "--tool-call-parser", "deepseek_v41",
    "--enable-auto-tool-choice",
    "--jit-monitor-mode", "error",
]

[env]

# Their serve-ds41-jovian.sh runtime env (multi-node-adapted; the launcher
# injects NCCL_SOCKET_IFNAME/IB_HCA/GID + VLLM_HOST_IP per node).
# 2026-09-14 (night shift, operator's typo report): the lab tree's runtime
# LM-head quantization (vocab_parallel_embedding.py) quantizes an unquantized
# LM head to MXFP8 BY DEFAULT (envs.py: VLLM_MXFP8_LM_HEAD, default "1").
# The eugr 2026-09-10 nightly (our prod image) has NO such feature and keeps
# the BF16 head - the coarsened 8-bit vocab-logit layer is the suspected cause
# of the typo-rate regression (close-token logits distorted). Opting out.
VLLM_MXFP8_LM_HEAD = "0"
NCCL_NCHANNELS = "16"
NCCL_MIN_NCHANNELS = "16"
NCCL_MAX_NCHANNELS = "16"
NCCL_BUFFSIZE = "2097152"
OMP_NUM_THREADS = "8"
CUDA_DEVICE_MAX_CONNECTIONS = "32"
# GB10 arch (theirs sm_120a on RTX PRO 6000):
CUTE_DSL_ARCH = "sm_121a"
TORCH_CUDA_ARCH_LIST = "12.1a"
# Their V2 model-runner + AOT compile pipeline (baked in their image env):
VLLM_USE_V2_MODEL_RUNNER = "1"
VLLM_USE_AOT_COMPILE = "1"
VLLM_USE_STANDALONE_COMPILE = "1"
VLLM_USE_MEGA_AOT_ARTIFACT = "1"
VLLM_USE_BREAKABLE_CUDAGRAPH = "0"
VLLM_USE_FLASHINFER_SAMPLER = "1"
VLLM_WORKER_MULTIPROC_METHOD = "spawn"
VLLM_EXECUTE_MODEL_TIMEOUT_SECONDS = "900"
HF_HUB_OFFLINE = "1"
# Deliberately NOT set: VLLM_ENABLE_PCIE_ALLREDUCE (single-host PCIe in
# their profile; cross-node on the switch fabric uses the launcher's NCCL),
# VLLM_HOST_IP (launcher per-node), NCCL_SOCKET_IFNAME (launcher per cluster).

# --- Engram from node-local NVMe, the rest from the shared NAS ---
# [composed_model] (standard launcher feature) builds a per-node /tmp dir:
# the whole DSV4.1 snapshot symlinked into the HF cache + the two 101.5 GB
# Engram table shards (model-00047/00048) HARDLINKED from the pre-existing
# per-rank sparse copies in /var/tmp/engram-local (48 GB real per node, built
# for the eugr/aiden lanes — offset-preserving full-size files, only this
# rank's rows materialized; hardlink = zero extra disk, same fs as /tmp).
# The r36 io_uring PLE reader then reads this rank's table rows from local
# NVMe (no NFS); weights stream from the NAS at load time (one-shot, same as
# prod). Local files run after the repo symlinks and win at the same name.
[composed_model]
mount = "/model"

[[composed_model.sources]]
repo = "deepseek-ai/DeepSeek-V4.1-Flash"          # whole snapshot, symlinked into the HF cache

[[composed_model.local_files]]                      # hardlinks win over the symlinks above
host = "/var/tmp/engram-local/DeepSeek-V4.1-Flash/model-00047-of-00048.safetensors"

[[composed_model.local_files]]
host = "/var/tmp/engram-local/DeepSeek-V4.1-Flash/model-00048-of-00048.safetensors"