Same prompt, same rig, and only one variable changed per test to ensure absolute comparability.
The model is fully reloaded before every single run to eliminate cache bias or context leakage.
Every prompt used and every result generated is published openly for community verification.
PC Magik Lab is a dedicated exploration into the performance and capabilities of Large Language Models when run on actual, local hardware. By removing the abstraction of cloud providers, we get a clear look at how quantization, VRAM limits, and different model architectures behave in the real world.