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serverAppConfigs/docs/LLM/ubatch-benchmark-large.md
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type, title, description, tags, timestamp
type title description tags timestamp
benchmark plan frank-default-large ubatch sweep Standardized ubatch sweep for the active kingjones Qwen3.8 ROCmFPX deployment.
llama.cpp
rocm
benchmark
ubatch
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 32K context. Each point runs three 128-token repetitions by default.

Run on Dankclaw from the repository checkout:

sudo systemctl stop frank-default-large
./scripts/bench-ubatch.sh
sudo systemctl start frank-default-large

The script uses the active Q6 AGENT model, a fixed 32K prompt workload, and llama-bench JSONL output. The ubatch-only sweep is:

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