Frank
301914b1c0
frank-large moves from the kingjones30/ROCmFPX llama.cpp build to peonist-ai/halogen-flash-server 0.5.8 serving Qwen3.8-Flash-Next (w4b .hgn 115.55 GiB + quality overlay). Upstream measures this engine at roughly 4x the prefill throughput of the llama.cpp family on the same gfx1151 silicon, and prefill dominates any prompt with real context. Shape: a rootless Quadlet container (dankclaw/frank-large/quadlet/), engine on container loopback :8730 (never published), OpenAI front-end :8731 published as host 7770, HALOGEN_MODEL_ID=frank-large so no client renamed anything. Context 262144, KV pool 262144 positions (~7.2 GiB, conservative for a shared 121 GiB host), 4 slots, host reserve 24, vision tower on, weights pinned, all other flags at vendor defaults. Weights are fetched by HALOGEN_DOWNLOAD on first start into a writable /home/dank/models/halogen. The llama.cpp era (unit, env, serve script) is staged in .AGENTTRASH/ rather than deleted; the STRIX payload and the ROCmFPX build stay on disk as the rollback target. deploy_llm_large becomes a user-quadlet handler: it retires the old ROOT unit (moving its checkout symlink into the home trash, never rm) and gates the first start on the download rather than reporting a failure for a fetch that is working exactly as designed. frank-npu is retired in the same change. The kernel cmdline moves from iommu=pt to amd_iommu=off for the 13-16% of prefill upstream measured, and that takes the XDNA2 NPU with it: without PASID/SVA the driver cannot open /dev/accel/accel0 (err=-19). Its five dependent routes are repointed (Hermes vision -> frank-large, Hermes title generation -> frank-small, harness vision -> frank-large, tiny -> frank-small, task -> frank-large:medium) and its provider blocks are removed from both the harness config and Hermes's live config. Audio input leaves the fleet with no replacement; image input survives on halogen's vision tower. Docs: new halogen-flash-server runbook, new IOMMU decision record, and frank-npu rewritten as a retirement record. AGENTS.md topology, runtime sections, benchmarking policy (frank-large is a user unit now) and the harness model-config section are corrected.
63 lines
2.4 KiB
Bash
Executable File
63 lines
2.4 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Serve the FastFlowLM (FLM) sight+sound endpoint — frank-npu.
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#
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# Runs `flm serve <tag>` on the XDNA2 NPU (50 TOPS, Dankclaw). The NPU is a
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# single-lane device: generations serialize in FIFO order, so this is a
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# background/triage endpoint, not an interactive multi-user chat. The NPU
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# draws from the unified RAM pool shared with frank-large (the iGPU
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# llama.cpp service); see serverAppConfigs-docs/LLM/frank-npu.md
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# for the memory budget and the model-selection tradeoff.
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#
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# NOTE: FLM requires unlimited memlock. The unit sets LimitMEMLOCK=infinity.
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# NOTE: an unknown model tag does NOT 404 — /v1/chat/completions answers HTTP 200 with a
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# flat {"error":"Failed to load <tag> model!"} body and no choices; /v1/completions returns a
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# nested OpenAI-shaped server_error (code 500) also under HTTP 200. Client model IDs must be the exact FLM registry
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# tag (e.g. gemma4-it:e4b), never a service alias. Custom tags only resolve
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# when FLM_CONFIG_PATH points at the user registry that carries them and their
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# kernels are symlinked into /home/dank/.config/flm/xclbins/<PackName>.
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set -euo pipefail
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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ENV_FILE="${FRANK_NPU_ENV_FILE:-$SCRIPT_DIR/frank-npu.env}"
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if [[ -f "$ENV_FILE" ]]; then
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set -a
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# shellcheck disable=SC1090
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source "$ENV_FILE"
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set +a
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fi
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# --- defaults (used when the env file does not set them) -------------------
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: "${FLM_BIN:=/usr/bin/flm}"
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: "${FLM_MODEL:=gemma4-it:e4b}"
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: "${FLM_HOST:=0.0.0.0}"
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: "${FLM_PORT:=7771}"
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: "${FLM_PMODE:=turbo}"
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: "${FLM_ASR:=0}"
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: "${FLM_CTX_LEN:=131072}"
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# The user registry is a superset of the system registry (it carries the
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# custom tags too), and its model_path resolves relative to the registry file,
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# so exports keep a tag swap in the env file from needing script edits.
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export FLM_CONFIG_PATH="${FLM_CONFIG_PATH:-/home/dank/.config/flm/model_list.json}"
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export FLM_XCLBIN_PATH="${FLM_XCLBIN_PATH:-/home/dank/.config/flm/xclbins}"
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if [[ ! -x "$FLM_BIN" ]]; then
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echo "missing flm binary: $FLM_BIN" >&2
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exit 1
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fi
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# --- optional flags ----------------------------------------------------------
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OPT_ARGS=()
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if [[ "${FLM_ASR}" != "0" ]]; then
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OPT_ARGS+=(--asr "${FLM_ASR}")
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fi
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if [[ "${FLM_CTX_LEN}" != "-1" ]]; then
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OPT_ARGS+=(--ctx-len "${FLM_CTX_LEN}")
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fi
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exec "$FLM_BIN" serve "$FLM_MODEL" \
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--host "$FLM_HOST" \
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-p "$FLM_PORT" \
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--pmode "$FLM_PMODE" \
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"${OPT_ARGS[@]}"
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