What is the throughput difference in code generation tasks between Vicuna-13B and Baichuan 2 when varying TAE

Abstract

Abstract: Understanding and reasoning over diagrams is a fundamental aspect of human intelligence. While Large Multimodal Models (LMMs) have demonstrated impressive capabilities across various tasks, existing benchmarks lack comprehensive evaluation of their diagram interpretation and reasoning abilities, particularly in coding contexts. We present HumanEval-V, a rigorous benchmark of human-annotated coding tasks that spans six task types and evaluates diverse visual reasoning capabilities. Each task features carefully crafted diagrams paired with function signatures and test cases, employing novel code

Research Question

What is the throughput difference in code generation tasks between Vicuna-13B and Baichuan 2 when varying TAE token misalignment thresholds, as measured by the HumanEval pass@1 metric?

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