/**
 * Pure-JS classifier head for cross-encoder/ettin-reranker-32m-v1.
 *
 * The upstream ONNX contains only the ModernBERT encoder (last_hidden_state, no
 * logits). The sentence-transformers head ships as three small safetensors
 * files: 2_Dense (Linear 384→384, no bias, GELU), 3_LayerNorm, 4_Dense
 * (Linear 384→1 with bias). Applying them here to the CLS vector reproduces the
 * model card's reference scores without a PyTorch export step.
 *
 * @module v1/cli/memory/reranker-head
 */
export declare const ETTIN_EXPORT_DIRNAME = "ettin-reranker-32m-v1-onnx";
export declare const ETTIN_HEAD_DIRNAME = "ettin-reranker-32m-v1-head";
export declare const ETTIN_HEAD_FILES: readonly ['2_Dense/model.safetensors', '3_LayerNorm/model.safetensors', '4_Dense/model.safetensors'];
export interface F32Tensor {
    shape: number[];
    data: Float32Array;
}
export interface EttinHead {
    dense1: F32Tensor;
    lnWeight: Float32Array;
    lnBias: Float32Array;
    dense2: Float32Array;
    dense2Bias: number;
}
export type RerankerSource = {
    kind: 'export' | 'head';
    dir: string;
};
/** Which reranker can actually produce scores, or null when none can. */
export declare function resolveRerankerSource(modelsDir: string): RerankerSource | null;
/** Parse a safetensors buffer holding only float32 tensors. */
export declare function parseSafetensorsF32(buf: Buffer): Record<string, F32Tensor>;
export declare function loadEttinHead(headDir: string): EttinHead;
/** Logit for one query/passage pair from its hidden states (CLS token first). */
export declare function ettinHeadLogit(head: EttinHead, hidden: Float32Array): number;
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