little-planet/ascend-tune-lab

A repository for deploying agents/skills for parameter tuning, profiling and analysis.

2Stars on the repository
34Mods indexed here, across every type
15d agoLast push, which is what freshness is scored on
noneNo LICENSE: all rights reserved, so bodies are not copied

little-planet/ascend-tune-lab

Agent

A specialised agent for reproducing serving-performance baselines for a model-serving setup. It uses configuration files and reference documents to produce a usable vLLM server command when needed.

not rated 2 15d ago A 85 tokens

little-planet/ascend-tune-lab

Agent

Path C Phase 1 subagent. Validate PD Prefill/Decode launch commands and machine/container environment; ensure one container per host when unspecified; network-only multi-host rewrites; write pd-check-report and rendered scripts.

not rated 2 15d ago A 53 tokens

little-planet/ascend-tune-lab

Agent

Path C Phase 3 subagent. Deploy mooncakemaster then Prefill/Decode/Proxy from Phase 1 rendered scripts after AISBench is ready; on failure diagnose and signal rollback to Phase 1.

not rated 2 15d ago A 51 tokens

little-planet/ascend-tune-lab

Agent

Path C Phase 4 subagent. Run AISBench P/D QPS tests under SLO, compute best PD ratio, fit to cluster capacity, verify deploy + e2e per-NPU throughput; write pd-ratio-report and status. P checks TTFT only; D checks TPOT only; concurrencies may differ.

not rated 2 15d ago A 77 tokens

little-planet/ascend-tune-lab

Agent

A specialized agent for the second phase of serving-performance tuning, starting from a Phase 1 baseline summary. The description is in Chinese and says it performs offline parallel-strategy tuning without deployment or load testing.

not rated 2 15d ago A 86 tokens

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