#!/usr/bin/env bash # serve-frank-primary.sh — frank-primary endpoint (tcclaviger RDNA4 vLLM fork, # Intel/GLM-5.3-Flash-W4A16-AutoRound, 2x R9700, dankserver :7770). # # 2026-09-30 cutover from orcarouter Qwen3.8-Flash-Next-Uncensored-FP8 + MTP4. # Rollback: commit 2339fae carries the whole pre-cutover scripts/ tree; restore # it and deploy. The qwen payload and the R9V state dirs stay on disk. # # The engine is driven by `podman run` DIRECTLY: the image's entrypoint execs # `vllm serve "$@"`, so the run line below IS the engine argv. # # Why this payload runs the offload path at all: 170 GiB of int4 experts cannot # fit in 64 GiB of VRAM, so the engine keeps 12,096 experts per rank in pinned # host memory and serves them through a 2,383-slot VRAM LRU arena. The MoE # kernel is libr4d's grouped W4A16 GEMM (R4dW4a16MoEMethod), reached because the # checkpoint's quant_method "auto-round" is overridden to "inc" by the fork. # # Shape: MAXLEN 131,072 x 2 seqs, bf16 KV, util 0.98, MTP OFF, prefetch OFF. # Measured 2026-09-30: decode 9.9-10.0 tok/s, prefill 918 tok/s warm. The # 35 tok/s target is NOT met — the bound is the fork's expert-gather read path # (8.2 GB/s effective vs the link's 22.74 GB/s); see frank-primary.env and the # runbook's arithmetic section. # # The root unit (scripts/frank-primary.service, User=dank, # LimitMEMLOCK=infinity) grants the pin budget for the 73.64 GiB/rank of pinned # host expert rows. A plain shell session also works, but the unit is the # fleet-parity boot-persistent shape. set -euo pipefail SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" ENV_FILE="${FRANK_PRIMARY_ENV_FILE:-$SCRIPT_DIR/frank-primary.env}" if [ ! -f "$ENV_FILE" ]; then echo "serve-frank-primary: env file missing: $ENV_FILE" >&2 exit 1 fi set -a # shellcheck disable=SC1090 source "$ENV_FILE" set +a : "${FRANK_PRIMARY_IMAGE:?FRANK_PRIMARY_IMAGE must name the digest-pinned image}" : "${FRANK_PRIMARY_MODEL_DIR:?FRANK_PRIMARY_MODEL_DIR must name the FP8 payload}" : "${FRANK_PRIMARY_MODEL_SHARDS:?FRANK_PRIMARY_MODEL_SHARDS must give the shard count}" : "${FRANK_PRIMARY_CONTAINER:?FRANK_PRIMARY_CONTAINER must name the container}" : "${FRANK_PRIMARY_SERVED_NAME:?FRANK_PRIMARY_SERVED_NAME must name the alias}" : "${FRANK_PRIMARY_PUBLISH:?FRANK_PRIMARY_PUBLISH must be host:container}" : "${FRANK_PRIMARY_MAXLEN:?FRANK_PRIMARY_MAXLEN must be set}" : "${FRANK_PRIMARY_SEQS:?FRANK_PRIMARY_SEQS must be set}" : "${FRANK_PRIMARY_NBATCH:?FRANK_PRIMARY_NBATCH must be set}" : "${FRANK_PRIMARY_TOOLPARSER:?FRANK_PRIMARY_TOOLPARSER must be set}" : "${FRANK_PRIMARY_REASONINGPARSER:?FRANK_PRIMARY_REASONINGPARSER must be set}" # Capture podman's output BEFORE grepping: under `set -o pipefail`, the # classic `podman images | grep -q` pattern races — grep exits on its first # match, podman dies SIGPIPE (141) writing the remaining lines, and pipefail # turns the 141 into "no match" (the 2026-09-30 deploy refusal). DIGESTS="$(podman images --format '{{.RepoDigests}}')" if ! grep -qF "${FRANK_PRIMARY_IMAGE#*@}" <<<"$DIGESTS"; then echo "serve-frank-primary: pinned image absent from rootless storage: $FRANK_PRIMARY_IMAGE" >&2 echo " fetch it: podman pull $FRANK_PRIMARY_IMAGE" >&2 exit 1 fi if [ ! -f "$FRANK_PRIMARY_MODEL_DIR/config.json" ]; then echo "serve-frank-primary: payload config missing: $FRANK_PRIMARY_MODEL_DIR/config.json" >&2 exit 1 fi SHARDS="$(find "$FRANK_PRIMARY_MODEL_DIR" -maxdepth 1 -name 'model-*-of-*.safetensors' | wc -l)" if [ "$SHARDS" != "$FRANK_PRIMARY_MODEL_SHARDS" ]; then echo "serve-frank-primary: payload shard count wrong: $FRANK_PRIMARY_MODEL_DIR" >&2 echo " found $SHARDS safetensors, want $FRANK_PRIMARY_MODEL_SHARDS" >&2 echo " re-fetch: scripts/download-frank-primary.sh" >&2 exit 1 fi if [ ! -f "$FRANK_PRIMARY_MODEL_DIR/model.safetensors.index.json" ]; then echo "serve-frank-primary: weight-map index missing: $FRANK_PRIMARY_MODEL_DIR/model.safetensors.index.json" >&2 exit 1 fi if [ ! -e /dev/kfd ] || [ ! -d /dev/dri ]; then echo "serve-frank-primary: GPU device nodes absent (/dev/kfd, /dev/dri)" >&2 exit 1 fi # A crashed/killed unit can leave the container name registered (systemd # SIGKILLs conmon before cleanup runs). Clear OUR name plus the legacy # identities (the retired R9V container and the ad hoc experiment container # both hold these GPUs); all idempotent. for CTR in $FRANK_PRIMARY_LEGACY_CONTAINERS "$FRANK_PRIMARY_CONTAINER"; do podman rm -f "$CTR" >/dev/null 2>&1 || true done LOG=/home/dank/logs/frank_primary.log mkdir -p "$(dirname "$LOG")" # --device /dev/dri is the WHOLE DIRECTORY (individual renderD nodes enumerate # without the card nodes and HIP refuses contexts — "No CUDA GPUs are # available" while device_count() says 2). --ipc=host for the engine's shared # memory; memlock unbounded for the pinned host slabs. # The entrypoint already execs `vllm serve "$@"`, so no `serve` here. podman run -d --name "$FRANK_PRIMARY_CONTAINER" \ --publish "$FRANK_PRIMARY_PUBLISH" \ --ipc=host --ulimit memlock=-1:-1 \ --cap-add SYS_PTRACE \ --device /dev/kfd --device /dev/dri --device /dev/mem \ -e HIP_VISIBLE_DEVICES=0,1 -e VLLM_ROCM_USE_AITER=0 \ -e PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True \ -v "$FRANK_PRIMARY_MODEL_DIR":/models:ro \ "$FRANK_PRIMARY_IMAGE" /models \ --served-model-name "$FRANK_PRIMARY_SERVED_NAME" --port 7770 \ --tensor-parallel-size 2 \ --max-model-len "$FRANK_PRIMARY_MAXLEN" \ --max-num-seqs "$FRANK_PRIMARY_SEQS" \ --max-num-batched-tokens "$FRANK_PRIMARY_NBATCH" \ --gpu-memory-utilization "$FRANK_PRIMARY_UTIL" \ --enable-expert-offload \ --expert-precise-memory \ --enable-prefix-caching \ --enable-auto-tool-choice \ --tool-call-parser "$FRANK_PRIMARY_TOOLPARSER" \ --reasoning-parser "$FRANK_PRIMARY_REASONINGPARSER" \ --trust-remote-code \ > "$LOG" 2>&1 # NOT passed, deliberately (each measured on this payload — see the env file): # --kv-cache-dtype fp8 disables the sparse MLA backend's rope-free # Triton path, which is the only MLA decode on # gfx12 (aiter's MLA op is gated on CDNA>2). # --speculative-config MTP head loads and accepts well, but buys zero # decode and collapses prefill on an # offload-bound shape. # --expert-prefetch* 36% precision; deleting it bought +40-51%. # --kv-cache-memory-bytes the plan's own reserve covers this shape. # From here on, this script's lifetime IS the container's: wait returns the # container's exit code, so a crash is a nonzero ExecStart and the unit's # Restart=on-failure is real. (systemd stop goes through ExecStop in the # unit — podman wait alone cannot stop the container child.) exec podman wait "$FRANK_PRIMARY_CONTAINER"