Frank 1949f0651b Pivot to llama.cpp with DFlash speculative decoding on ROCm
- Abandon vLLM/FP8 (Triton compilation hangs, ~0.5 tok/s on Strix Halo)
- llama.cpp v10133 with ROCm0 offload, DFlash draft model
- Main: unsloth/Qwen3.6-27B-MTP-GGUF:Q8_0 (~22GB)
- Draft: Alittlehammmer/Qwen3.6-27B-DFlash-GGUF-llama.cpp:Q8_0 (~1.8GB)
- 3 parallel streams, 131072 context/stream
- systemd service with minimal sandboxing (ROCm requires /dev/kfd access)
- Baseline: 7.62 tok/s (threshold 5.0 tok/s)
2026-08-07 15:41:27 -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%