Frank ced4c6f46e sync: update vllm-awq-qwen36-dflash-ampere.sh from dankserver
- Model: Avesed/Qwen3.6-35B-A3B-INT8-W8A8 (was AWQ 4bit)
- Image: vllm/vllm-openai:nightly (was :latest)
- Spec method: mtp with 2 tokens (was dflash with 12)
- Max model len: 200700 (was 32768)
- Max num seqs: 3 (was 1)
- Max batched tokens: 3072 (was 4096)
- GPU mem util: 0.97 (was 0.96)
- CPU offload: 30GB (was 40GB)
- Add --enable-prefix-caching
- Add --kv-cache-dtype auto
2026-08-10 03:23:09 -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
8.4 MiB
Languages
Shell 60.4%
Python 21%
HTML 6.2%
Jinja 3.9%
C++ 3.9%
Other 4.6%