# vLLM Scripts

Scripts for running LLM inference on two local machines.

## Targets

| Host | User | Codename | Architecture |
|------|------|----------|-------------|
| dankserver | dank | Dankserver | NVIDIA RTX 3090 + 62 GB RAM |
| dankclaw | dank | Dankclaw | AMD Strix Halo APU (shared memory) |

## Active Services

| Service | Host | Runtime | Model | Port |
|---------|------|---------|-------|------|
| llama-server | dankclaw | ROCmFPX llama.cpp | Ling-3.0-flash ROCmFP4 MTP | 8080 |
| vllm-awq-qwen36 | dankserver | vLLM (Docker) | Qwen3.6-35B-A3B AWQ 4-bit | 34401 |

## Models

| Model | Target | Format |
|-------|--------|--------|
| Ling-3.0-flash ROCmFP4-MTP | dankclaw | ROCmFP4 GGUF |
| Qwen3.6 35B A3B AWQ 4bit | dankserver | AWQ |
| Qwen3.6 35B A3B FP8 | dankserver | FP8 (documented, not active) |
| Qwen3.6 27B FP8 | dankclaw | FP8 (documented, not active) |

## Structure

- `docs/` — Project knowledge base with research notes on vLLM configuration, hardware specifics, speculative decoding, and deployment notes
- `scripts/` — Deployment and launch scripts (deploy.sh, serve-vllm-qwen36-dflash.sh, validate-vllm.sh, systemd unit files)

## Deployment

See [docs/deployment.md](docs/deployment.md) for the deploy/update process. Run `./scripts/deploy.sh <dankclaw|dankserver>` after pushing committed changes.

## Knowledge Base

See [docs/index.md](docs/index.md) for the project knowledge base index.