Frank 9227e1a8b9 Add AWQ DFlash Ampere script and improved validation
- vllm-awq-qwen36-dflash-ampere.sh: AWQ-4bit Qwen3.6-35B-A3B with DFlash
  speculative decoding, optimized for Ampere hardware
  - Model: cyankiwi/Qwen3.6-35B-A3B-AWQ-4bit (AWQ Marlin)
  - Draft: z-lab/Qwen3.6-35B-A3B-DFlash
  - --max-model-len 32768
  - --max-num-batched-tokens 1536
  - --cpu-offload-gb 40 (experts)
  - --reasoning-parser qwen3
  - --tool-call-parser qwen3_xml
  - Port: 34401
  - Note: prefix caching disabled (Mamba cache align conflict)

- scripts/validate-vllm.sh: Per-stream latency tests
  - Separate tests for 1, 2, 3, 4 streams
  - Different prompts per stream to avoid caching effects
  - Reports elapsed ms per stream count
2026-08-08 16:41:44 -07:00

vLLM Scripts

Scripts for running large language models via vLLM on two local machines.

Targets

Host User Codename Architecture
dankserver dank DankServer NVIDIA GPU + System RAM
dankclaw dank DankClaw AMD Strix Halo (Shared Memory)

Models

Model Target Format
Qwen3.6 35B A3B FP8 dankserver FP8
Qwen3.6 27B FP8 dankclaw FP8

Structure

  • docs/ — Project knowledge base with research notes on vLLM configuration, hardware specifics, and deployment notes
  • scripts/ — Executable vLLM launch scripts (coming soon)

Knowledge Base

See docs/README.md for the project knowledge base index.

S
Description
Podman deployment configs for Dankserver and Dankclaw
Readme
8.2 MiB
Languages
Shell 60.4%
Python 21%
HTML 6.2%
Jinja 3.9%
C++ 3.9%
Other 4.6%