Add LLM benchmarking framework to staging#2405
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kubraaksux wants to merge 4 commits intoapache:mainfrom
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Add LLM benchmarking framework to staging#2405kubraaksux wants to merge 4 commits intoapache:mainfrom
kubraaksux wants to merge 4 commits intoapache:mainfrom
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Generic LLM benchmark suite for evaluating inference performance across different backends (vLLM, Ollama, OpenAI, MLX). Features: - Multiple workload categories: math (GSM8K), reasoning (BoolQ, LogiQA), summarization (XSum, CNN/DM), JSON extraction - Pluggable backend architecture for different inference engines - Performance metrics: latency, throughput, memory usage - Accuracy evaluation per workload type - HTML report generation This framework can be used to evaluate SystemDS LLM inference components once they are developed.
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- Connection.java: Changed loadModel(modelName) to loadModel(modelName, workerScriptPath) - Connection.java: Removed findPythonScript() method - LLMCallback.java: Added Javadoc for generate() method - JMLCLLMInferenceTest.java: Updated to pass script path to loadModel()
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Generic LLM benchmark suite for evaluating inference performance across different backends (vLLM, Ollama, OpenAI, MLX).
Features:
This framework can be used to evaluate SystemDS LLM inference components once they are developed.