/**
 * import/foreign/apply.ts — write ported weights into a live model.
 *
 * Kept separate from the port itself so the mapping stays device-free and
 * testable: {@link portForeignMamba} produces plain `Float32Array`s, this is the
 * only piece that needs a `GPUDevice`.
 *
 * Matching is by parameter NAME, never by position, so a change to
 * `HybridMambaModel.parameters()` ordering can never silently mis-assign a
 * buffer — an unexpected or missing name throws instead.
 */
import type { HybridMambaModel } from "../../model/mamba_model.js";
import type { PortedTensors } from "./plan.js";
/**
 * Upload every ported tensor into `model`'s parameter buffers.
 *
 * Throws when the model expects a parameter the port did not produce, when an
 * element count disagrees, or when the port produced a name the model does not
 * have — all three mean the model was built from a different config than
 * {@link PortedCheckpoint.modelConfig}.
 */
export declare function applyPortedWeights(model: HybridMambaModel, ported: PortedTensors): void;
//# sourceMappingURL=apply.d.ts.map