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(PP head + worker) - index.md: topology fix (qwythos:9b, Q6_K split 0.68, NPU disabled) - qwen3.8-spec-matrix.md: superseded configs merged into compact history; stale inline env block removed; bundled-head MTP note - FastFlowLM, PP Deployment: boot-policy + enablement notes - System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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# Running Qwen3.6 35B A3B FP8 on Dankserver
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> **RETIRED.** This page documents the FP8 vLLM path for Qwen3.6-35B-A3B on Dankserver. The llama.cpp 35B service is retired (2026-08-16), its unit file was removed (2026-08-17), and the FP8 vLLM unit (`vllm-qwen36`) never shipped and is disabled. The content is kept as research history. The RTX 3090 now runs the PP worker: see [[Qwen3.8 PP Deployment]].
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## Model Information
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Qwen3.6-35B-A3B is a Mixture-of-Experts vision-language model from the Qwen3.6 series. It uses 35B total parameters with only 3B activated per token.
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@@ -112,10 +114,9 @@ export HF_HOME=/mnt/entropy/huggingface
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### Active Service Conflict
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The active `frank-default-small` service (llama.cpp, port 7770) uses about 22 GB of the 24 GB VRAM. The retired `vllm-awq-qwen36` (Podman, ~22 GB) and `vllm-qwen36` services are not active. Stop any competing service before starting another:
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The retired `frank-default-small` service (llama.cpp) used about 22 GB of the 24 GB VRAM. The current PP worker holds ~23.8 GiB. The `vllm-awq-qwen36` (Podman) and `vllm-qwen36` units are disabled. Before starting any research service, verify that the GPU is free:
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```
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podman stop vllm-qwen36-dflash
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nvidia-smi # verify GPU is free
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```
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