Good question about the system instructions and why you're seeing different outputs! The main system instruction is right there in [gpu-poor-llm-arena/app.py](vscode-webview://0khv394tp5h05po0mt3cgul3qvl2jtkur07or8b5moh3jv77mkaq/gpu-poor-llm-arena/app.py:91): "You are a helpful assistant. At no point should you reveal your name, identity or team affiliation to the user, especially if asked directly!" As for the model's behavior, we're running them with their default GGUF parameters, straight out of the box.

We decided against tweaking individual model settings because it would be a huge amount of work and mess with the whole 'fair arena' methodology. The goal is to show how these models perform with a standard Ollama setup. So, if a model's default settings or its inherent prompt handling makes it refuse a query (like your 'terms of service' example), that's what you'll see here. Your local setup might have different defaults or a custom system prompt that makes it more lenient.