docs: boot policy (only PP units enabled), deploy.sh dankserver hazard, stale-claim cleanup
- deployment.md: Boot Policy (2026-08-17) section (disabled units table, re-enable recipes, stale frank-restart-small.sh helper, broken deploy.sh dankserver target); Update Dankserver -> frank-pp-worker; condensed retired 35B history block and 2026-08-13 incident - AGENTS.md: boot-policy note, target map fix (Q6_K, split 0.68), deploy.sh dankserver warning, obsolete quirk entries condensed - README.md: rewrite active services/models tables (PP head + worker) - index.md: topology fix (qwythos:9b, Q6_K split 0.68, NPU disabled) - qwen3.8-spec-matrix.md: superseded configs merged into compact history; stale inline env block removed; bundled-head MTP note - FastFlowLM, PP Deployment: boot-policy + enablement notes - System Specs x2, DFlash doc, 35B FP8 doc, Ling docs: stale active claims fixed, retired banners, never-shipped plan stubbed
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@@ -82,7 +82,7 @@ The NPU shares the 30 GiB unified pool. FLM allocates roughly half of system RAM
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- ROCm reports 96 GiB of GPU-visible memory (overcommitted). The current vLLM service runs at `--gpu-memory-utilization 0.95`, which fits the CIRU INT4 weights and 256k KV cache (about 90 GiB used of the 96 GiB frame buffer).
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- Without the ROCm VRAM patch, ROCm clamps APU memory to 50% (see `scripts/patches/rocm_patched.py` on the remote). The patch restores the real GTT ceiling minus an 8 GB safety margin.
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- Only 8 GiB swap. Modern vLLM uses `--kv-offloading-size` instead of the removed `--swap-space` flag.
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- The active service on Dankclaw is `frank-default-large.service`: vLLM-ROCm serving the Ling-3.0-flash CIRU INT4 (W4A16) model on port 7770 with native MTP speculative decoding. It replaced the ROCmFPX llama.cpp service.
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- The active service on Dankclaw is `frank-default-large.service`: the llama.cpp pipeline-parallel head (Qwen3.8-27B-Uncensored Q6_K) on port 7770, RPC-split with the Dankserver worker. The vLLM-ROCm CIRU Ling path was planned but never shipped. See [[deployment]].
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- ROCm 7.2.4 from AMD repos. The CIRU venv bundles a self-contained ROCm 7.15 toolchain; vLLM ROCm support requires ROCm 6.3+.
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- Python 3.14.4 is very new. vLLM ROCm wheels target Python 3.12. The CIRU venv uses Python 3.12.
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- Radeon 8060S falls under Ryzen AI MAX series (gfx1151). vLLM lists this as supported.
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