- 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
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vLLM Scripts — Knowledge Base
Documentation for running vLLM inference on two local machines.
Deployment Topology
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 | 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
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