aisbench
claudeAISBench evaluation framework — accuracy benchmarks (GSM8K, MMLU, AIME) and performance benchmarks against vLLM services.
1 skill
0
claude
msmodeling
MindStudio-Modeling performance evaluation framework for Ascend NPUs. Provides tensor-cast for model-level analysis and serving-cast-simulation for LLM serving parameter tuning.
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Plugin msmodeling from marketplace g-claude in starmountain1997/g-claude. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (3)
msmodelingMindStudio-Modeling performance evaluation framework for Ascend NPUs. Split into TensorCast (per-model, operator-level analysis) and ServingCast (system-level, multi-instance serving simulation). Use when you need to analyze model performance on hardware or optimize serving deployment.
serving-cast-simulationServingCast system-level simulation for LLM serving throughput and latency on Ascend NPUs. Use for multi-instance capacity planning, TTFT/TPOT optimization, and finding optimal vLLM parameters before deployment. Triggers when the user mentions serving throughput, multi-instance planning, capacity pl
tensor-castTensorCast model-level performance analysis for Ascend NPUs. Use to analyze operator-level execution time, memory footprint, FLOPs, and computational characteristics of transformer models. Triggers when the user wants model analysis, FLOPs estimation, memory profiling, or operator breakdown.
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