Frank
3f88b8e1ed
- spec matrix + PP doc + deployment.md + AGENTS.md + index.md: current production = Uncensored Q6_K + standalone MTP draft, mismatched q8_0/f16 KV with FA retained (GGML_CUDA_FA_ALL_QUANTS rebuild at 9b05354ec), split 0.68 (45 blocks), KV 8624/3920, 273 MiB free. - PP doc: 'FA-all-quants rebuild' section (flag, cmake commands, both hosts) + new-model split-limits measurements; old Q8_K_XL limits marked superseded. - serve-pp-head.sh defaults: MODEL_FILE -> Q6_K, CACHE_TYPE_V -> f16 (env already correct; defaults now match production).
89 lines
4.6 KiB
Markdown
89 lines
4.6 KiB
Markdown
# vLLM Scripts — Knowledge Base
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Documentation for the LLM inference fleet on two local machines:
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llama.cpp production (PP head + RPC worker), the FastFlowLM NPU endpoint,
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plus a vLLM research archive.
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## Deployment Topology
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```mermaid
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graph LR
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subgraph Dankserver[NVIDIA Dankserver - Ubuntu 24.04]
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A[RTX 3090 24GB + 62GB RAM]
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B[ggml-rpc worker
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frank-pp-worker, port 50052]
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A --> B
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end
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subgraph Dankclaw[AMD Strix Halo - Ubuntu 26.04]
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D[gfx1151 APU 30GiB phys / 96GiB GPU-visible]
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E[llama.cpp PP head
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frank-default-large, port 7770]
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F[Qwen3.8-27B UD-Q8_K_XL
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split 0.40/0.60 to worker, MTP+ngram-mod]
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D --> E --> F
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G[FastFlowLM NPU XDNA2 50 TOPS
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frank-default-small, port 52625]
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H[qwen3.6-moe:35b-a3b
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12.5-13.1 t/s, 262k ctx, vision]
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D --> G --> H
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end
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I[LLM Clients / API] -->|HTTP :7770| E
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I -->|HTTP :52625| G
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E -->|RPC layers 0.40| B
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```
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## Servers
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| Server | GPU | VRAM / Memory | OS |
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| --------------------------------------- | ----------------------------- | ----------------------------------- | ------------ |
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| [[Dankserver System Specs\|Dankserver]] | NVIDIA RTX 3090 | 24 GB VRAM, 62 GB RAM | Ubuntu 24.04 |
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| [[Dankclaw System Specs\|Dankclaw]] | AMD Radeon 8060S (Strix Halo) | 30 GiB physical / 96 GiB GPU-visible | Ubuntu 26.04 |
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## vLLM Reference
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- [[VLLM Overview]] — installation, CLI, API, architecture, quantization, parallelism
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- [[VLLM Index]] — quick reference with commands, endpoints, and parameter table
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- [[deployment]] — deploy and update process for both servers
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## Memory Management
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- [[RAM CPU Offloading in VLLM]] — KV cache swap between GPU VRAM and system RAM
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- [[Hybrid CPU GPU Processing Dankserver]] — NVIDIA GPU compute with system RAM offload
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- [[Shared Memory Architecture Dankclaw]] — AMD unified memory and ROCm configuration
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## Model Deployment
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- [[Running Qwen3.6 35B A3B FP8 on Dankserver]] — MoE model (35B total, 3B active) on RTX 3090
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- [[Running Qwen3.6 27B FP8 on Dankclaw]] — Dense model (27B) on Strix Halo APU
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- [[frank-default-large-benchmark]] — backend/spec benchmark; chose MTP sidecar (2026-08-14) over DFlash (parallel premature-EOS bug)
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- [[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)
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- [[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
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- [[frank-default-small-benchmark]] — ncmoe and batch/ubatch sweep that drove the Dankserver state
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- [[dankserver-vram-growth]] — VRAM/RAM growth investigation behind the recurring cuBLAS crash on frank-default-small
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- [[Dankclaw Improvements]] — researched enhancements: self-hosted agentic tools, runtime tuning, server/OS settings
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- [[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)
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## Speculative Decoding & Quantization
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- [[DFlash DSpark Speculative Decoding]] — block diffusion (DFlash) and semi-autoregressive (DSpark) drafting on vLLM and llama.cpp
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- [[Quantization by Hardware Architecture]] — which quant format fits which GPU/CPU
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## Pipeline Parallelism
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- [[Pipeline Parallelism]] — index of multi-node inference research and sample scripts
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- [[Pipeline Parallelism/llama.cpp RPC]] — ggml-rpc-server + `--rpc` distributed inference
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- [[Pipeline Parallelism/vLLM Pipeline Parallelism]] — vLLM PP across machines
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- [[Pipeline Parallelism/Ethernet Bandwidth Math]] — bytes per token and link feasibility
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- [[Pipeline Parallelism/Mixed-Vendor Experiments]] — NVIDIA + Strix Halo real-world runs
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- [[Pipeline Parallelism/Expected Performance]] — estimated tok/s over 1/2.5/10 GbE
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- [[Pipeline Parallelism/Sample Script Set]] — educational two-node Qwen3.6-27B Q8 split
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- [[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)
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## Sibling projects
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- [serverAppConfigs](../serverAppConfigs/docs/index.md) — the Podman app
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stack on the same two hosts. Its OpenWebUI consumes the `:7770`
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endpoint; its Gitea instance hosts this repository.
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