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serverAppConfigs/docs/LLM/index.md
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LLM Fleet — Knowledge Base

Documentation for the LLM inference fleet on two local machines (2026-09-01): upstream llama.cpp on Dankserver (frank-default-small, Ornith-1.5-35B-A3B CRACK) and ROCmFPX llama.cpp on Dankclaw (frank-default-large, kingjones Qwen3.8 Uncensored Q6 AGENT). Both services run the Qwen-Sharp chat template.

2026-08-22: the former vllmScripts repository is merged into the serverAppConfigs repository. This knowledge base moved from the old repo's docs/ root to docs/LLM/. The fleet scripts and units now live in the repo's scripts/ directory.

Deployment Topology

graph LR
    subgraph Dankserver[NVIDIA Dankserver - Ubuntu 26.04]
        A[RTX 3090 24GB + 62GB RAM]
        B[upstream llama.cpp b10121
frank-default-small, port 7770]
        C[Ornith-1.5-35B-A3B-CRACK Q6_K
ngram-mod, selected experts offloaded via override, 491520 ctx]
        A --> B --> C
    end

    subgraph Dankclaw[AMD Strix Halo - Ubuntu 26.04]
        D[gfx1151 iGPU 64 GiB unified memory]
        E[charlie12345/ROCmFPX build-kairic (v81)
frank-default-large, port 7770]
        F[Qwen3.8 Uncensored Q6 ROCmFPX AGENT
MTP draft + Turbo4 V cache, 262K ctx / 1 slot]
        D --> E --> F
    end

    I[LLM Clients / API] -->|HTTP :7770| B
    I -->|HTTP :7770| E

Servers

Server GPU VRAM / Memory OS
Dankserver System Specs NVIDIA RTX 3090 24 GB VRAM, 62 GB RAM Ubuntu 26.04
Dankclaw System Specs AMD Radeon 8060S (Strix Halo) gfx1151 unified memory Ubuntu 26.04

Active Deployment

CIRU Reference (Dankclaw)

  • ciru-activefpx-promptforge — the RETIRED v3 model, ROCm 7.15 toolchain, and build history (on Dankclaw; the slot now serves the kingjones ROCmFP4 model, see kingjones-strix-mtp)
  • kairic-edge — Kairic Edge IU4 runtime: build runbook, binary identity, and experiment summary (retired 2026-08-22)

DFlash2 Reference (archived)

vLLM Reference (historical)

Memory Management

Retired Topology (2026-08-17 redo)

Pipeline Parallelism (archive)

  • Pipeline Parallelism/index — index of multi-node inference research. The PP pair is retired. These pages are research history.

Runtime Research (llama.cpp family)

  • Llama Cpp Runtimes — mainline vs charlie12345/ROCmFPX vs ik_llama.cpp: positioning, quantization, server fit
  • Llama Cpp Code Diff — code-level quantization diff of the three runtimes + server recommendations
  • SGLang — the structured-generation serving engine; when it fits Dankserver (3090) vs Dankclaw (Strix Halo)
  • Project knowledge base — the Podman app stacks on the same two hosts. OpenWebUI consumes the :7770 endpoint on Dankserver. The Gitea instance on Dankclaw hosts this repository.
  • Deployment Flow — the service-scoped git-based deploy with inference isolation