ettin-reranker-68m-v1

by cross-encoder

68M-param cross-encoder reranker balancing accuracy and speed

N/Adl/month

68Mparams

HuggingFace Run on your data

Identifiers

Model ID

cross-encoder/ettin-reranker-68m-v1

Feature URI

mixpeek://reranker@v1/cross_encoder_ettin_68m_v1

Overview

Ettin Reranker 68M is the mid-size model in the Ettin family, built on the ModernBERT encoder architecture and distilled from mxbai-rerank-large-v2. It provides a balance between the tiny 17M/32M variants and the larger 150M/400M/1B models, making it suitable for latency-sensitive production workloads that still need strong reranking quality.

Architecture

Cross-encoder architecture using ModernBERT as the backbone. Concatenates query and document into a single input sequence, processes through bidirectional attention layers, and outputs a single relevance score. Trained via knowledge distillation from larger reranking models with margin-MSE loss.

Mixpeek SDK Integration

import { Mixpeek } from "mixpeek";

const mx = new Mixpeek({ apiKey: "API_KEY" });

// Managed: create a collection over a bucket; Mixpeek runs this model's extractor
const collection = await mx.collections.create({
  namespace_id: "my-namespace",
  collection_name: "my-collection",
  source: { type: "bucket", bucket_ids: ["bkt_your_bucket"] },
  feature_extractor: {
    feature_extractor_name: "s3",
    version: "v1",
    parameters: { model_id: "mixpeek://text_extractor@v1/baai_bge_large_v1" },
  },
});