9227e1a8b943cc5ff7a90ee2d1654a9d95cca71c
- 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
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 notesscripts/— Executable vLLM launch scripts (coming soon)
Knowledge Base
See docs/README.md for the project knowledge base index.
Languages
Shell
60.4%
Python
21%
HTML
6.2%
Jinja
3.9%
C++
3.9%
Other
4.6%