Frank
43ec77fee6
Dankclaw's endpoints are re-split. frank-large is the halogen-flash-server quadlet again -- the 2026-09-13 unit file was never touched by the two-day ik_llama.cpp interlude, so the runtime was still in the repo and its image is still in local storage -- retuned to the shape asked for: HALOGEN_CTX 200192 with a 400,384-position pool and two slots, exactly two 200k conversations. frank-small is new: mainline llama.cpp on the RTX 3090 serving ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF at IQ3_S, using the -mtp build (it carries blk.64.nextn.*, which is what lets --spec-type draft-mtp run on the main model's own weights instead of a second 12 GiB copy) plus the BF16 vision projector, as one 131,072-token slot with f16 KV on port 7771. The host is shared now, and that is what the halogen retune pays for: HALOGEN_MAX_TOK 24576 (arena 20.6 -> 16.4 GiB, ~4-5% prefill) and the vision tower dropped (1.97 GiB) hand ~6 GiB back to the host, and the reserve rises to 20 to keep the fit check honest. Vision moved wholesale to frank-small. Retired to scripts/.AGENTTRASH/: the ik trio (env, service, serve script), the Qwen-Sharp template only that runtime read, and four benchmark harnesses bound to retired runtimes. Because retiring a file makes any test that greps it pass by absence, the seams assert the archive exists AND the live path does not.
124 lines
4.8 KiB
C++
Executable File
124 lines
4.8 KiB
C++
Executable File
#!/usr/bin/env bash
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# Serve mradermacher/Qwen3.8-Flash-Next-Uncensored i1-Q4_K_M as frank-large
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# via ik_llama.cpp on Dankclaw.
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#
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# Topology (ikawrakow's hybrid recipe; upstream issue #2402 for the PLE):
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# the RTX 3090 (CUDA, sm_86) takes the dense/attention/output weights and
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# the KV cache (-ngl 999); ALL MoE expert tensors and the ~32 GB PLE
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# n-gram table stay in the Strix Halo's LPDDR5X via the plain CPU backend
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# buffer (-ot ...=CPU — mmap-backed page cache; only a tiny slice of PLE is
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# touched per token). NEVER use --cpu-moe on this host: it routes the
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# CPU-overridden weights through the CUDA_Host PINNED buffer (measured
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# 108.12 GiB page-locked on 2026-09-15, which evicted every co-tenant into
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# swap and starved sshd into unreachability until a power cycle). NEVER add
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# --no-mmap — the STRIX-era lesson transfers directly (the cgroup killer
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# takes the process with nothing in the server log).
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#
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# Runtime: ik_llama.cpp master d85a1d7 built with CUDA (sm_86) + Zen5
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# AVX-512 IQK kernels; the startup banner must show HAVE_FANCY_SIMD
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# is defined. Flag set verified against this binary's --help before this
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# script was written. ik has no --cache-prompt/--cache-idle-slots (prompt
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# caching is its default behavior) and no --alias: it is a single-model
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# server and reports the GGUF's general.name at /v1/models.
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#
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# Sampling: greedy-by-default (halogen client contract) — clients that
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# send their own temperature get their own values.
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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_LARGE_ENV_FILE:-$SCRIPT_DIR/frank-large.env}"
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if [[ -f "$ENV_FILE" ]]; then
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set -a
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# shellcheck disable=SC1090
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source "$ENV_FILE"
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set +a
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fi
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# --- defaults (used when the env file does not set them) -------------------
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: "${LLAMA_BIN:=/home/dank/GitPackages/ik_llama.cpp/build/bin/llama-server}"
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: "${MODEL_DIR:=/home/dank/models/mradermacher-Qwen3.8-Flash-Next-Uncensored-i1-Q4_K_M}"
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: "${MODEL_FILE:=Qwen3.8-Flash-Next-Uncensored.i1-Q4_K_M.gguf}"
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: "${MMPROJ_PATH:=$MODEL_DIR/Qwen3.8-Flash-Next-Uncensored.mmproj-f16.gguf}"
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: "${CHAT_TEMPLATE_FILE:=$SCRIPT_DIR/chat-template.jinja}"
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: "${BIND_ADDR:=0.0.0.0}"
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: "${LISTEN_PORT:=7770}"
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: "${CTX_SIZE:=262144}"
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: "${PARALLEL:=1}"
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: "${BATCH_SIZE:=4096}"
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: "${UBATCH_SIZE:=512}"
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: "${NUM_THREADS:=16}"
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: "${THREAD_BATCH:=16}"
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: "${CACHE_TYPE_K:=f16}"
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: "${CACHE_TYPE_V:=f16}"
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: "${NGL:=999}"
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: "${CPU_MOE:=on}"
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: "${FLASH_ATTN:=on}"
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: "${TEMPERATURE:=0.0}"
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: "${REASONING:=on}"
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: "${REASONING_FORMAT:=deepseek}"
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: "${REASONING_BUDGET:=-1}"
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: "${CACHE_RAM:=8192}"
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: "${SLOT_SAVE_PATH:=$SCRIPT_DIR/slot-state}"
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# Hard guard: on this host CUDA pinned host memory strands the co-tenants
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# (measured 2026-09-15: a default-policy start tried to page-lock 108.12 GiB,
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# evicted every co-tenant into swap and starved sshd into unreachability
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# until a power cycle). GGML_CUDA_NO_PINNED_WEIGHTS=1 keeps the
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# CPU-overridden weights mmapped (src/llama-load-tensors.cpp); the env file
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# sets it. Refuse to run without it.
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if [[ "${GGML_CUDA_NO_PINNED_WEIGHTS:-}" != "1" ]]; then
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echo "frank-large: refusing to start — GGML_CUDA_NO_PINNED_WEIGHTS=1 is mandatory on this host" >&2
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exit 1
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fi
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mkdir -p "$SLOT_SAVE_PATH"
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# The UVM device node is created lazily by nvidia-modprobe on the first
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# CUDA open after boot; make sure it exists before the server needs it.
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nvidia-modprobe -u -c=0 2>/dev/null || true
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CPU_MOE_ARGS=()
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if [[ "$CPU_MOE" == "on" ]]; then
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# -ot ...=CPU (plain CPU backend buffer) is the mmap-backed path. NEVER
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# swap this for --cpu-moe: that routes the weights through the CUDA_Host
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# PINNED buffer (108.12 GiB measured) and strands the co-tenants.
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CPU_MOE_ARGS=(-ot "exps=CPU" -ot "per_layer_token_embd=CPU")
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fi
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MMPROJ_ARGS=()
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if [[ -n "${MMPROJ_PATH:-}" && -f "$MMPROJ_PATH" ]]; then
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MMPROJ_ARGS=(--mmproj "$MMPROJ_PATH")
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fi
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TEMPLATE_ARGS=()
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if [[ -n "${CHAT_TEMPLATE_FILE:-}" && -f "$CHAT_TEMPLATE_FILE" ]]; then
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TEMPLATE_ARGS=(--chat-template-file "$CHAT_TEMPLATE_FILE")
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else
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TEMPLATE_ARGS=(--jinja)
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fi
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exec "$LLAMA_BIN" \
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--model "$MODEL_DIR/$MODEL_FILE" \
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"${TEMPLATE_ARGS[@]}" \
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--host "$BIND_ADDR" \
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--port "$LISTEN_PORT" \
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--gpu-layers "$NGL" \
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"${CPU_MOE_ARGS[@]}" \
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--flash-attn "$FLASH_ATTN" \
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--parallel "$PARALLEL" \
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--ctx-size "$CTX_SIZE" \
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--batch-size "$BATCH_SIZE" \
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--ubatch-size "$UBATCH_SIZE" \
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--threads "$NUM_THREADS" \
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--threads-batch "$THREAD_BATCH" \
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--cache-type-k "$CACHE_TYPE_K" \
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--cache-type-v "$CACHE_TYPE_V" \
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--cache-ram "$CACHE_RAM" \
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--slot-save-path "$SLOT_SAVE_PATH" \
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--ctx-checkpoints 16 \
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--metrics \
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--temp "$TEMPERATURE" \
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--reasoning "$REASONING" \
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--reasoning-format "$REASONING_FORMAT" \
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--reasoning-budget "$REASONING_BUDGET" \
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"${MMPROJ_ARGS[@]}"
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