- 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(PP head + worker) - index.md: topology fix (qwythos:9b, Q6_K split 0.68, NPU disabled) - qwen3.8-spec-matrix.md: superseded configs merged into compact history; stale inline env block removed; bundled-head MTP note - FastFlowLM, PP Deployment: boot-policy + enablement notes - System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
4.8 KiB
4.8 KiB
vLLM Scripts — Knowledge Base
Documentation for the LLM inference fleet on two local machines: llama.cpp production (PP head + RPC worker), the FastFlowLM NPU endpoint, plus a vLLM research archive.
Deployment Topology
graph LR
subgraph Dankserver[NVIDIA Dankserver - Ubuntu 24.04]
A[RTX 3090 24GB + 62GB RAM]
B[ggml-rpc worker
frank-pp-worker, port 50052]
A --> B
end
subgraph Dankclaw[AMD Strix Halo - Ubuntu 26.04]
D[gfx1151 APU 30GiB phys / 96GiB GPU-visible]
E[llama.cpp PP head
frank-default-large, port 7770]
F[Qwen3.8-27B-Uncensored Q6_K
split 0.68/0.32 to worker, standalone MTP draft + ngram-mod]
D --> E --> F
G[FastFlowLM NPU XDNA2 50 TOPS
frank-default-small, port 52625 - DISABLED for boot 2026-08-17]
H[qwythos:9b
Q4NX 7.76 GB, 262k ctx]
D --> G --> H
end
I[LLM Clients / API] -->|HTTP :7770| E
I -->|HTTP :52625| G
E -->|RPC layers 0.68| B
Boot policy (2026-08-17): only frank-default-large and frank-pp-worker are enabled. The NPU endpoint and all retired units are disabled; see deployment for the table and re-enable recipes.
Servers
| Server | GPU | VRAM / Memory | OS |
|---|---|---|---|
| Dankserver System Specs | NVIDIA RTX 3090 | 24 GB VRAM, 62 GB RAM | Ubuntu 24.04 |
| Dankclaw System Specs | AMD Radeon 8060S (Strix Halo) | 30 GiB physical / 96 GiB GPU-visible | Ubuntu 26.04 |
vLLM Reference
- VLLM Overview — installation, CLI, API, architecture, quantization, parallelism
- VLLM Index — quick reference with commands, endpoints, and parameter table
- deployment — deploy and update process for both servers
Memory Management
- RAM CPU Offloading in VLLM — KV cache swap between GPU VRAM and system RAM
- Hybrid CPU GPU Processing Dankserver — NVIDIA GPU compute with system RAM offload
- Shared Memory Architecture Dankclaw — AMD unified memory and ROCm configuration
Model Deployment
- Running Qwen3.6 35B A3B FP8 on Dankserver — MoE model (35B total, 3B active) on RTX 3090
- Running Qwen3.6 27B FP8 on Dankclaw — Dense model (27B) on Strix Halo APU
- frank-default-large-benchmark — backend/spec benchmark; chose MTP sidecar (2026-08-14) over DFlash (parallel premature-EOS bug)
- qwen3.8-spec-matrix — Qwen3.8-27B spec history + current production state: Uncensored Q6_K + standalone MTP draft, q8_0/f16 KV with FA (FA_ALL_QUANTS rebuild), 1 slot @ 262144, split 0.68 (2026-08-17)
- qwen3.8-strix-optimizations — Qwen3.8-27B Strix speed research: ranked levers that keep UD-Q8_K_XL (PP to 3090, MTP tuning, same-bit Q8_0 A/B, prefill path, OS), quant landscape, 2026-08-16 test matrix
- frank-default-small-benchmark — ncmoe and batch/ubatch sweep that drove the Dankserver state
- dankserver-vram-growth — VRAM/RAM growth investigation behind the recurring cuBLAS crash on frank-default-small
- Dankclaw Improvements — researched enhancements: self-hosted agentic tools, runtime tuning, server/OS settings
- FastFlowLM NPU Inference — FastFlowLM (FLM), the AMD NPU-first runtime. The 50 TOPS Strix Halo NPU on Dankclaw: model fit, vendor benchmarks, verified install state, test runbook (2026-08-16)
Speculative Decoding & Quantization
- DFlash DSpark Speculative Decoding — block diffusion (DFlash) and semi-autoregressive (DSpark) drafting on vLLM and llama.cpp
- Quantization by Hardware Architecture — which quant format fits which GPU/CPU
Pipeline Parallelism
- Pipeline Parallelism — index of multi-node inference research and sample scripts
- Pipeline Parallelism/llama.cpp RPC — ggml-rpc-server +
--rpcdistributed inference - Pipeline Parallelism/vLLM Pipeline Parallelism — vLLM PP across machines
- Pipeline Parallelism/Ethernet Bandwidth Math — bytes per token and link feasibility
- Pipeline Parallelism/Mixed-Vendor Experiments — NVIDIA + Strix Halo real-world runs
- Pipeline Parallelism/Expected Performance — estimated tok/s over 1/2.5/10 GbE
- Pipeline Parallelism/Sample Script Set — educational two-node Qwen3.6-27B Q8 split
- Pipeline Parallelism/Qwen3.8 PP Deployment — the production deployment + runbook: Qwen3.8-27B head (Strix) / worker (RTX 3090) over RPC, b10433, scripts in scripts/; split limits, FA-all-quants rebuild, cache incident (2026-08-17)
- Pipeline Parallelism/llama.cpp RPC — ggml-rpc-server +
Sibling projects
- serverAppConfigs — the Podman app
stack on the same two hosts. Its OpenWebUI consumes the
:7770endpoint; its Gitea instance hosts this repository.