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fn mog_vm_set_global(vm: *mut u8);
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We could just delete this assertion. Or we could just set the model to eval mode. Contrary to the name, it has nothing to do with whether the model is trainable or not. Eval mode just turns off train time behavior. Historically, this meant no dropout and using stored batch norm statistics rather than per-batch statistics. With modern LLM’s, this means, well, nothing—there typically are no train time specific behaviors. requires_grad controls whether gradients are tracked and only the parameters passed to the optimizer are updated.
Roles execute with the full privileges of the Ansible process with become directives escalating further, and there are open issues going back years about the inability to exclude or override transitive role dependencies.
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