/**
 * export/gguf.ts — export weights to a GGUF v3 container (the llama.cpp format).
 *
 * Emits a spec-valid GGUF file: magic + version, KV metadata (architecture, dims,
 * expert counts…), aligned tensor-info table, then aligned tensor data. ggml
 * stores dimensions innermost-first, so row-major shapes are reversed here.
 *
 * NOTE: GGUF is a *container*. llama.cpp can only RUN a file whose
 * `general.architecture` it has a graph for; "evermind" is custom, so this file
 * is a valid, inspectable artifact (gguf tooling reads it) but won't execute in
 * stock llama.cpp until the architecture is upstreamed. It exists so the same
 * weights can travel through GGUF-native tooling. For an executable export use
 * {@link ./onnx} or {@link ./safetensors}.
 */
import type { EvermindLM } from "../lm/evermind_lm.js";
export interface GgufOptions {
    name?: string;
    /** Store tensors as float16 (ggml type F16). Default false (F32). */
    fp16?: boolean;
}
/** Export a trained LM to GGUF bytes. */
export declare function exportGguf(lm: EvermindLM, opts?: GgufOptions): Uint8Array;
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