Files
serverAppConfigs/serverAppConfigs-docs/LLM/index.md
T
Frank 3c2a5d2fe7 frank-default-large: swap to agentionai Qwen3.8-Flash-Next ROCmFP4-FAST imatrix + own MTP draft
Model: agentionai/Qwen3.8-Flash-Next-ROCmFP4-FAST-imatrix-GGUF (87.06 GiB,
Q4_0_ROCMFP4_FAST imatrix-calibrated, per-head PLE table inside the GGUF —
fully VRAM-resident). Draft: agentionai/Qwen3.8-Flash-Next-MTP-ROCmFP4-FAST
(2.28 GiB, matched ROCmFP4-FAST quant, ~66% acceptance at n-max 3).
Vision tower (f16) loaded via mmproj/.

Runtime: charlie12345/ROCmFPX build-qwen38 (HIP, ROCm 7.2.4, gfx1151) —
the only binary with the ROCmFP4 FAST types. Replaces the jcbtc CIRU v1.1
deployment (ciru-ai runtime).

Profile: card sampling table (temp 0.7, top_p 0.8, top_k 20, min_p 0.0,
presence 1.5) mixed with the validated build-qwen38 serving profile:
262144 ctx x 1 slot, b 4096 / ub 4096, t 16 / tb 16, f16 KV, fa on,
cont-batching, prompt cache + 8 GiB cache-ram + idle slots, 16 ctx
checkpoints (no --checkpoint-min-step — unsupported on this binary),
--fit off (auto-fit segfaults on qwen4exp hyper-connection config),
--spec-type draft-mtp,ngram-mod with n-max 3 (adaptive p-split measured
worse per author card), p-min 0.75. Qwen-Sharp chat template kept;
reasoning stays in DeepSeek format.

The 2026-08-28 failure of this draft head on the kingjones STRIX_LEAN
model was a cross-vendor pairing problem: the head carries
blk.48.hc_attn_norm.weight (verified in-GGUF, same shape as the working
CIRU draft). Docs: new runbook agentionai-fast-imatrix, index updates.
2026-08-29 20:41:12 -07:00

6.3 KiB
Raw Blame History

LLM Fleet — Knowledge Base

Documentation for the LLM inference fleet on two local machines (2026-08-29): FreeToken v0.1.2 on Dankserver (frank-default-small, Qwen3.6-35B-A3B-FP8) and ROCmFPX llama.cpp on Dankclaw (frank-default-large, agentionai Qwen3.8-Flash-Next ROCmFP4-FAST imatrix + MTP draft). 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 serverAppConfigs-docs/ root to serverAppConfigs-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 + 60GB RAM]
        B2[FreeToken v0.1.2
frank-default-small, port 7770]
        C[Qwen3.6-35B-A3B-FP8
block-fp8, 20% MoE residency, 453k KV / 4 streams]
        A --> B2 --> C
    end

    subgraph Dankclaw[AMD Strix Halo - Ubuntu 26.04]
        E2[gfx1151 iGPU 64 GiB unified memory]
        E[charlie12345/ROCmFPX build-qwen38
frank-default-large, port 7770]
        F[agentionai Qwen3.8-Flash-Next
ROCmFP4-FAST imatrix + MTP draft, 262K ctx / 1 slot]
        E2 --> E --> F
    end

    CLI[LLM Clients / API] -->|HTTP :7770| B2
    CLI -->|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

  • freetoken-frank-default-small — the active frank-default-small runbook: FreeToken v0.1.2 serving Qwen3.6-35B-A3B-FP8 on Dankserver (2026-09-02)
  • freetoken-benchmark-sweep — KV pool vs decode speed sweep (bs1/bs3/bs4/bs6, 8k–700k KV) on Dankserver RTX 3090
  • deployment — deploy and update process for both servers
  • frank-redo-2026-08-17 — the 2026-08-17 topology change
  • agentionai-fast-imatrix — ACTIVE frank-default-large runbook: agentionai/Qwen3.8-Flash-Next-ROCmFP4-FAST-imatrix (87.06 GiB Q4_0_ROCMFP4_FAST, per-head PLE in GGUF) + own MTP draft head (ROCmFP4-FAST, 2.28 GiB), build-qwen38 runtime (2026-08-29)
  • kingjones-strix-rocmfp4 — retired frank-default-large runbook: kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF, 177B params (56B MoE + 51.2B PLE), single 113.47 GiB GGUF, STRIX tier
  • ubatch-benchmark-large — active-model llama-bench ubatch sweep plan and results
  • kingjones-q8agent-rocmfpx — the retired Q8_0-AGENT investigation and set_rows failure
  • eemin-rocmi4-mtp — the former caf-eemin Qwen3.8-27B embedded-MTP model on Dankclaw (retired)
  • dealign-ornith-crack — the retired Ornith-1.5-35B-A3B CRACK model on Dankserver (frank-default-small, retired 2026-09-02)
  • ikllama-ornith-dankserver — the retired ik_llama.cpp runtime for frank-default-small (2026-08-26): q8_0 + Hadamard KV cache, split-mode none (single-GPU), mandatory FA_ALL_QUANTS build flags
  • kingjones-strix-mtp — the former Q6 AGENT runbook (restored 2026-09-01 after Q8_0 failure, then superseded by the STRIX deployment on 2026-08-27)
  • ciru-activefpx-promptforge — the RETIRED v3 CIRU PromptForge runtime on Dankclaw (superseded 2026-08-24 by the kingjones ROCmFP4 model)
  • kairic-edge — the retired Kairic Edge IU4 experiment (deployed and reverted 2026-08-22)
  • Dankserver System Specs — the RTX 3090 box (frank-default-small)
  • Dankclaw System Specs — the CIRU ROCmFPX box (frank-default-large)

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