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
77 lines
2.7 KiB
Bash
77 lines
2.7 KiB
Bash
# Head tunables — Qwen3.8-27B pipeline-parallel head (Dankclaw).
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#
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# The head is the LOCAL side of the split. It runs llama-server (b10433,
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# HIP+Vulkan+RPC build in /home/dank/llama.cpp/build) with --rpc pointing at
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# the worker on Dankserver. The model file lives on this machine only; the
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# worker receives its tensor share over the network at load time.
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#
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# CRITICAL: this script must NOT pass --device. When --device is set,
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# llama.cpp uses exactly that device list and silently drops the RPC device
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# (src/llama.cpp llama_prepare_model_devices). Default device selection
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# inserts RPC servers at the FRONT of the device list, so the split becomes
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# [RPC0, iGPU] and --tensor-split index 0 is the worker.
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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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# (HIP runtime collision, see the 2026-08-13 TEMP incident).
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MODEL_DIR=/home/dank/models
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MODEL_FILE=Qwen3.8-27B-UD-Q8_K_XL.gguf
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HEAD_BIN=/home/dank/llama.cpp/build/bin/llama-server
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ALIAS=frank-pp-large
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BIND_ADDR=0.0.0.0
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LISTEN_PORT=7770
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# Comma-separated RPC endpoints (host:port). One worker here.
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RPC_SERVERS=192.168.0.235:50052
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# Model split fractions, one per device in order [RPC0, iGPU].
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# 1,1 = 50/50: the 3090 gets the first ~32 layers, the Strix the rest.
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# Leave empty for the default proportional-to-free-memory split; note the
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# Strix reports ~96 GiB (GTT ceiling) vs the 3090's ~24 GB, so the default
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# lands around 20% of layers on the 3090 and 80% on the Strix.
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TENSOR_SPLIT=1,1
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# Context pool. 131072 single slot keeps the KV small (~4.5 GB total at
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# q8_0) on both sides; raise for high-context tests (see docs).
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CTX_SIZE=131072
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PARALLEL=1
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# Speculative decoding. Matches production frank-default-large: MTP (bundled
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# head, n_max 4 per the published tuning curve) with the ngram-mod fallback.
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# Set SPEC_NONE=1 for a raw baseline with no speculation.
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SPEC_NONE=0
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SPEC_DEFAULT=1
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MTP=1
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SPEC_DRAFT_N_MAX=4
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# Optional standalone MTP draft head (e.g. the Q4_0 ggml-org file). When set,
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# it replaces the bundled in-model head via --spec-draft-model.
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SPEC_DRAFT_MODEL=
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SPEC_NGRAM_MOD_N_MIN=48
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SPEC_NGRAM_MOD_N_MAX=64
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SPEC_NGRAM_MOD_N_MATCH=24
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# KV on GPU, quantized. Keep K == V so Flash Attention stays enabled.
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CACHE_TYPE_K=q8_0
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CACHE_TYPE_V=q8_0
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# Batch sizing: production-verified values (2026-08-14).
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BATCH_SIZE=8192
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UBATCH_SIZE=256
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# Sampling — Qwen3.8 thinking-mode defaults.
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TEMPERATURE=1.0
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TOP_K=20
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TOP_P=0.95
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MIN_P=0.0
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THREADS=12
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THREADS_HTTP=1
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# 10 (debug): prints per-layer device assignment so the split is verifiable
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# in the log. Drop to 4 for quiet production use.
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VERBOSITY=10
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# 1: --direct-io model load. Required in practice for large models loaded
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# over RPC (load hangs otherwise; visorcraft Strix RPC finding).
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DIRECT_IO=1
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