This is the Windows app named LLM Colosseum whose latest release can be downloaded as v0.0.3sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
LLM Colosseum
DESCRIPTION:
LLM-Colosseum is an experimental benchmarking framework designed to evaluate the capabilities of large language models through gameplay interactions rather than traditional text-based benchmarks. The system places language models inside the environment of the classic video game Street Fighter III, where they must interpret the game state and decide which actions to perform during combat. This setup creates a dynamic environment that tests reasoning, situational awareness, and decision-making abilities in real time. Instead of relying purely on reward signals as in reinforcement learning agents, the models analyze contextual information and generate strategic actions based on the game environment. Performance is evaluated using a competitive ranking system that assigns models an ELO rating based on their results across matches against other models.
Features
- Benchmark framework using a real-time game environment for evaluation
- Street Fighter III gameplay used to test decision-making abilities of language models
- Competitive ELO ranking system based on model performance in matches
- Context-aware action selection rather than traditional reward-based reinforcement learning
- Experimental platform for studying reasoning and strategic behavior in LLMs
- Jupyter-based environment for running model competitions and evaluations
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/llm-colosseum.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.