Files
serverAppConfigs/docs/index.md
T
Frank 993b6af576 docs: add DFlash/DSpark speculative decoding research + quantization-by-hardware guide
- DFlash DSpark Speculative Decoding.md: verified method details (DFlash
  block diffusion from Z Lab arXiv:2602.06036; DSpark semi-autoregressive from
  DeepSeek arXiv:2607.05147), runtime support matrix (vLLM/llama.cpp/SGLang),
  exact vLLM --speculative-config recipes (incl. dflash/dspark), llama.cpp
  --spec-type recipes with sidecar auto-discovery, draft model table
  (z-lab Qwen3.6-27B-DFlash 2B, Qwen3.6-35B-A3B-DFlash 0.4B), deployment
  guidance for RTX 3090 (AWQ+Dflash) and Strix Halo (ROCmFPX MTP), measured
  45-50 t/s MTP decode on Strix Halo
- Quantization by Hardware Architecture.md: FP8/INT8/INT4/GPTQ/AWQ/GGUF/FP4/
  ROCmFP4 support per NVIDIA (Turing/Ampere/Ada/Hopper/Blackwell), AMD
  (CDNA MI250/MI300/MI350, RDNA 3/3.5/4), and CPU; recommended picks per
  Dankserver (AWQ/GPTQ 4-bit) and Dankclaw (ROCmFP4/Q4_K_M)
- index.md: link both new pages under Speculative Decoding & Quantization
2026-08-10 21:09:17 -07:00

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Markdown

# vLLM Scripts — Knowledge Base
Documentation for running vLLM inference on two local machines.
## Deployment Topology
```mermaid
graph LR
subgraph Dankserver[NVIDIA Dankserver - Ubuntu 24.04]
A[RTX 3090 24GB + 62GB RAM]
B[vLLM 0.26.0 in Podman\nvllm-qwen36-dflash]
C[Qwen3.6-35B-A3B-FP8\n+ DFlash draft, port 8000]
A --> B --> C
end
subgraph Dankclaw[AMD Strix Halo - Ubuntu 26.04]
D[gfx1151 APU 30GiB phys / 96GiB GPU-visible]
E[ROCmFPX llama.cpp\n/ROCmFPX/build-strix-rocmfp4]
F[Ling-3.0-flash ROCmFP4-MTP\ndraft-mtp, port 8080]
D --> E --> F
end
G[LLM Clients / API] -->|HTTP :8000| B
G -->|HTTP :8080| E
```
## Servers
| Server | GPU | VRAM / Memory | OS |
| --------------------------------------- | ----------------------------- | ----------------------------------- | ------------ |
| [[Dankserver System Specs\|Dankserver]] | NVIDIA RTX 3090 | 24 GB VRAM, 62 GB RAM | Ubuntu 24.04 |
| [[Dankclaw System Specs\|Dankclaw]] | 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
## 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