Frank
d9af7f1d19
- Move all previous scripts to old/scripts/ (retired PP/NPU-era) - frank-default-large: llama.cpp FastMTP on dankserver (HauhauCS Qwen3.8-27B IQ4_XS + FastMTP 32K draft + ngram-mod, K q8_0/V f16, 128K ctx, batch 2048/ubatch 1024, port 7770) - frank-default-small: vLLM ROCm on dankclaw (Avesed Qwen3.6-35B-A3B INT8 W8A8, full 262144 ctx, no KV quant, 4 seqs, batch 16384, ngram spec, port 52625) - retarget deploy.sh (dankserver/dankclaw, inline sudo, no helpers) - docs: deployment + index + AGENTS.md + README for new topology, superseded banners on retired docs, add frank-redo-2026-08-17 runbook
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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