---
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)