Researchers are testing whether post-training quantization shifts welfare-relevant indicators toward more distressed or unstable states in open-weight models. This study tracks valence and stability changes under conversational pressure. The latest update serves as a preregistration amendment for LessWrong AI. Findings will help safety researchers determine if compression alters internal model states.