Frank
9544c36afc
- scripts: serve-pp-head/worker, envs, systemd units, pp-test.sh orchestrator, pp-bench.py - head design verified in b10433 source + live 4B smoke test: * no --device with --rpc (RPC device silently dropped otherwise) * default device selection = [RPC0, ROCm0] (HIP registers before Vulkan) * default split proportional to reported free mem = ~20/80 here, pin 1,1 * -dio required for large model over RPC - docs: qwen3.8-strix-optimizations (ranked no-quant-downgrade levers, quant landscape, 2026-08-16 test matrix), PP deployment runbook, index updates, Dankclaw Improvements corrections (Vulkan0, no power_profile sysfs) - worker built at 9b05354ec in /home/dank/llama-cpp-rpc worktree (CUDA+RPC) - second head build build-vulkan-rpc (HIP off) for backend A/B
31 lines
1.2 KiB
Bash
31 lines
1.2 KiB
Bash
# Worker tunables — Qwen3.8-27B pipeline-parallel RPC worker (Dankserver).
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#
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# The worker is the REMOTE side of the split. It exposes the RTX 3090 to the
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# head on Dankclaw as an RPC device. It runs from the b10433 CUDA+RPC build
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# in /home/dank/llama-cpp-rpc (worktree of /home/dank/llama.cpp).
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#
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# WARNING: do not name any variable here TEMP, HOST, or GPU_MAX_HEAP_SIZE.
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# The ROCm HIP runtime reads those bare env vars (see the 2026-08-13 TEMP
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# incident in docs/deployment.md).
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# Bind address and port for ggml-rpc-server. Must be the LAN address the head
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# can reach; the default bind (127.0.0.1) refuses remote clients.
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RPC_BIND=192.168.0.235
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RPC_PORT=50052
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# Device to expose. CUDA0 = the RTX 3090.
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DEVICE=CUDA0
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# Threads for the worker's CPU device (server has 8 cores; leave 1 for the OS
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# and the running frank-default-small service).
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THREADS=7
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# 1: enable the local tensor file cache (~/.cache/llama.cpp/rpc/). The head
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# streams the 31.5 GB model to the worker on first load; with the cache, later
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# loads skip the transfer.
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CACHE=1
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# Worker binary. Must be the SAME llama.cpp build as the head (b10433 /
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# 9b05354ec). Version skew hangs the RPC handshake.
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WORKER_BIN=/home/dank/llama-cpp-rpc/build/bin/ggml-rpc-server
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