docs: rename docs/ -> serverAppConfigs-docs/ per system-wide PROJECTNAME-docs convention

All in-repo path references (AGENTS.md, README, old scripts, report artifacts,
test code paths) rewritten in the same commit; focused-test map extended for
.gitignore, old/scripts/*, dankclaw/comfyui/*, and report/* per this repo's
own convention ('add one before committing'). Obsidian wikilinks are
title-based and unaffected.
This commit is contained in:
Frank committed 2026-08-28 02:20:06 -07:00
1 parent 6d4a96a423
commit 5829a0bfe8
140 files changed
+1820 -86

No files matched your search

@@ -0,0 +1,56 @@
---
type: benchmark plan
title: frank-default-large ubatch sweep
description: Standardized ubatch sweep for the active kingjones Qwen3.8 ROCmFPX deployment.
tags:
- llama.cpp
- rocm
- benchmark
- ubatch
timestamp: 2026-09-01
---
# frank-default-large ubatch sweep
This benchmark uses the active `frank-default-large` model on Dankclaw with
`llama-bench`. It does not use `llama-server`, HTTP requests, or server-log
scraping. Stop the production service before running it and start the service
again afterward.
The old custom harnesses are retained in `.AGENTTRASH/bench-scripts-20260901/`
for auditability only. Their results are invalid and must not be used.
## Sweep
The requested points are `256, 512, 768, 1024, 1280, 1536, 1792, 2048,
3072, 4096` at 8K context, with `batch` equal to `ubatch` at every point.
Each point runs three 128-token repetitions by default.
Run on Dankclaw from the repository checkout:
```bash
sudo systemctl stop frank-default-large
./scripts/bench-ubatch.sh
sudo systemctl start frank-default-large
```
The script uses the active Q6 AGENT model, an 8K prompt workload, equal
`batch` and `ubatch` values, and `llama-bench` JSONL output. The sweep is:
```text
256, 512, 768, 1024, 1280, 1536, 1792, 2048, 3072, 4096
```
The GPU is shared with live workloads; do not run with the production service
up.
## Results
No valid results are recorded here. All results from the retired custom
harnesses are explicitly discarded. Record the raw `llama-bench` JSONL output
from the new harness here after a clean run.
## See also
- [LLM fleet index](index.md)
- [Deployment](deployment.md)
- [Active kingjones runbook](kingjones-strix-mtp.md)