Affectra is a text-emotion foundation model: a single set of weights that solves 15 heterogeneous affective tasks — discrete-emotion classification, dimensional (VAD) regression, intensity regression, interpersonal judgments (irony, hate speech, stance), an aspect-level applied task, and multilingual emotion detection — in English, Japanese, and multilingual data. This is Affectra-1-8B, the first release. The series is versioned (Affectra-1, Affectra-2, …) and sized (-8B). (q,k,v,o,gate,up,down); 88.7 M trainable parameters (~334 MB). channel (label schema) is placed after the body, so under causal masking the body's hidden states are provably independent of the channel; the final [READ]…