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