Frank
219a097b39
Every payload swap a live endpoint has ever run is now one row in that endpoint's Eras table, with its rollback path in the same row. No per-attempt page, no per-swap ledger, nowhere else. - Added: LLM/frank-archon.md (radiance, 2x R9700 TP=2), LLM/frank-dragoon.md (halogen flash-server, 19 eras), LLM/frank-zealot.md (llama.cpp PrismML fork on the 3090). Each carries Current shape, Eras, Laws, wire contract, files. - Deleted: 45 per-payload runbooks -- the frank-dragoon line (11 including the pre-name halogen/kingjones/kairic/CIRU/eemin/agentionai/dflash2 pages and the benchmark page), the frank-zealot line (llama.cpp/vLLM/ik_llama/SGLang eras), the frank-archon line (vLLM/FreeToken/R9V/llama.cpp/radiance eras), plus frank-medium, frank-npu and the ubatch/PCIe one-offs that owned nothing. - Rewired: every wikilink and markdown-path reference to a folded page points at the endpoint page instead; the three Research see-also lists and the ubatch sweep's runbook link included. No anchored links existed in the set. - Regenerated both index pages as pure locators -- one row, one clause, no numbers -- so the docs_completeness locator law holds for all 153 pages. tests/docs_completeness.bats green: index links every page, no unresolved links. The pages moved to .AGENTTRASH/20261018-doc-dedupe/LLM/ (gitignored, and git history holds every byte).
105 lines
3.3 KiB
Markdown
105 lines
3.3 KiB
Markdown
---
|
|
type: reference
|
|
description: "This index contains all documentation for vLLM deployment on Dankserver and Dankclaw."
|
|
tags:
|
|
- llm
|
|
- vllm
|
|
timestamp: 2026-08-28
|
|
---
|
|
|
|
# vLLM Index
|
|
|
|
> **RETIRED (2026-08-18).** The vLLM service on Dankclaw was replaced by the CIRU ROCmFPX llama.cpp runtime (v3). These pages are historical reference. See [[frank-dragoon]].
|
|
|
|
## Documentation Overview
|
|
|
|
This index contains all documentation for vLLM deployment on Dankserver and Dankclaw.
|
|
|
|
## Hardware Guides
|
|
|
|
- [[Dankserver System Specs]] — NVIDIA GPU server specifications
|
|
- [[Dankclaw System Specs]] — AMD GPU server specifications
|
|
|
|
## vLLM Architecture
|
|
|
|
- [[VLLM Overview]] — Complete vLLM documentation including installation, CLI, API, and key arguments
|
|
- [[RAM CPU Offloading in VLLM]] — CPU RAM offloading mechanisms, swap space, and memory configuration
|
|
- [[Hybrid CPU GPU Processing Dankserver]] — NVIDIA GPU with system RAM hybrid processing
|
|
- [[Shared Memory Architecture Dankclaw]] — AMD ROCm unified memory and APU configuration
|
|
|
|
## Model Deployment Guides
|
|
|
|
- [[Running Qwen3.6 35B A3B FP8 on Dankserver]] — Qwen3.6-35B-A3B FP8 deployment on NVIDIA GPU
|
|
- [[Running Qwen3.6 27B FP8 on Dankclaw]] — Qwen3.6-27B FP8 deployment on AMD GPU
|
|
|
|
## Quick Reference
|
|
|
|
### Installation Commands
|
|
|
|
```
|
|
# NVIDIA GPU
|
|
uv pip install vllm --torch-backend=auto
|
|
|
|
# AMD ROCm
|
|
uv pip install vllm --extra-index-url https://wheels.vllm.ai/rocm/
|
|
|
|
# CPU
|
|
uv pip install vllm --extra-index-url https://wheels.vllm.ai/nightly/cpu/
|
|
```
|
|
|
|
### Server Start Commands
|
|
|
|
```
|
|
# Basic server
|
|
vllm serve Qwen/Qwen2.5-1.5B-Instruct
|
|
|
|
# With tensor parallelism
|
|
vllm serve meta-llama/Llama-3.1-70B-Instruct --tensor-parallel-size 4
|
|
|
|
# With quantization
|
|
vllm serve Qwen/Qwen2.5-1.5B-Instruct --quantization fp8
|
|
|
|
# With GPU memory control
|
|
vllm serve Qwen/Qwen2.5-1.5B-Instruct --gpu-memory-utilization 0.8 --swap-space 8
|
|
```
|
|
|
|
### Common API Endpoints
|
|
|
|
| Endpoint | Method | Description |
|
|
|----------|--------|-------------|
|
|
| /v1/models | GET | List available models |
|
|
| /v1/completions | POST | Text completion |
|
|
| /v1/chat/completions | POST | Chat completion |
|
|
| /health | GET | Health check |
|
|
| /metrics | GET | Prometheus metrics |
|
|
|
|
### Key Parameters
|
|
|
|
| Parameter | Description | Typical Value |
|
|
|-----------|-------------|---------------|
|
|
| tensor_parallel_size | Number of GPUs for model sharding | 1-8 |
|
|
| gpu_memory_utilization | Fraction of GPU memory for KV cache (default 0.92) | 0.7-0.95 |
|
|
| swap_space | Removed in current vLLM; use `--kv-offloading-size` | n/a |
|
|
| max_model_len | Maximum context length | auto |
|
|
| max_num_batched_tokens | Max tokens per batch | 2048-8192 |
|
|
| max_num_seqs | Max sequences per batch | 128-512 |
|
|
|
|
### Quantization Methods
|
|
|
|
| Method | GPU Support | Description |
|
|
|--------|-------------|-------------|
|
|
| FP8 | Hopper, Ada (native); Ampere W8A16 via Marlin; RDNA via emulation | FP8 E4M3 inference |
|
|
| INT8 | Most GPUs | Weight-only INT8 |
|
|
| GPTQ | Most GPUs (NVIDIA; limited on ROCm) | Post-training GPTQ |
|
|
| AWQ | Turing+ (NVIDIA) | Activation-aware weight quantization |
|
|
| GGUF | CPU, GPU | General GPU unification format |
|
|
|
|
## See Also
|
|
|
|
- [[VLLM Overview]]
|
|
- [[RAM CPU Offloading in VLLM]]
|
|
- [[Hybrid CPU GPU Processing Dankserver]]
|
|
- [[Shared Memory Architecture Dankclaw]]
|
|
- [[Running Qwen3.6 35B A3B FP8 on Dankserver]]
|
|
- [[Running Qwen3.6 27B FP8 on Dankclaw]]
|