Preserve strict learned-weight loading across checkpoint metadata changes
When an older model checkpoint fails strict loading against a newer runtime, distinguish learned tensor mismatches from deterministic nonlearned metadata before relaxing validation. If official source proves a missing buffer is empty and irrelevant to the selected task, validate …