Frank
327e78b950
The vault was 155 pages / 31,210 lines, most of it measurement ledgers for payloads that no longer run. A throughput figure for a runtime nobody operates is not a record: AI moves faster than the vault, so the number is wrong before anyone reads it, and a wrong number in a runbook gets believed. Per the new purpose test in `AGENTS.md` → *Documentation Policy*, it is destroyed. Gone (`.AGENTTRASH/20261019-destruction/`, KILL-LIST.txt is the manifest): - the `frank-medium` endpoint and its five era pages, `frank-npu`, FastFlowLM, the ikllama/kingjones/dealign/frank-redo eras, the ling/swift15/freetoken/ubatch campaign pages, qwen3.8 spec-matrix and strix-optimizations, the two "Running Qwen3.6 …" pages; - the whole `Pipeline Parallelism/` folder (no live script passes a pipeline flag) and the multi-device/x4-pair/hybrid/offload experiment pages; - every vLLM page — no vLLM endpoint exists on this fleet; - `LLM/deployment.md` (`Architecture/Deployment Flow.md` is the test-referenced owner) and the external surveys (SGLang, Lemonade, llama.cpp forks/diff, self-hosted app census, the TTS survey) that were obsolete by construction; - `log.md`, 2,380 lines. Git holds the chronology; a causal law belongs to the page that owns the thing it governs, never to a diary. Survivors: 101 pages, 17,542 lines, 0 OKF violations, 0 unresolved links. Eras tables keep the window, payload, runtime, reason and rollback pointer; the rate columns are blanked. The live shapes stay verbatim — those numbers are what the deployer and `models.yml` consume.
39 lines
1.5 KiB
Markdown
39 lines
1.5 KiB
Markdown
# Research
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Subagent research briefs for the two hosts. Each page is a focused research
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findings doc; the project root index () links back.
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## LLM Inference
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- The llama.cpp trees on this host compared: positioning, quantization formats, and fit for each machine.
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- Code-level diff of the three llama.cpp trees here: quantization code, type numbers, and what differs for our cards.
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- What SGLang is, how it schedules and caches, how it compares to the runtimes here, and whether it fits this fleet.
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## Image / Media
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- [[ComfyUI ROCm and Vulkan]] — Whether ComfyUI can use the Strix Halo APU at all, and which backend path actually reaches the GPU.
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## Audio / TTS
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- Creating a local voice from sample files: the open-weight cloning landscape, the measured engine A/B, the audio stack.
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## Career / Job Search
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- [[AI Job Search and Resume Tools]] — Self-hosted job-search and resume tools: the landscape, local-LLM fit, and the recommended homelab stack.
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## Self-Hosted Landscape
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- The most-starred self-hosted AI applications of the year so far, with homelab fit and adoption notes.
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## Games / Creative
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- [[PICO-8 Asset Standards]] — Asset-sheet standards for PICO-8: palette discipline, one light direction, detail hierarchy, cohesion checklist.
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## Backups
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- [[Backblaze Integration]] — Off-site backup plan for the bind-mounted data on both hosts.
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## Legacy
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- [[Service Research Brief]] — Consolidated upstream research on the fleet's LLM runtimes, dated to when it was gathered.
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