all-MiniLM-L6-v2

by sentence-transformers

Fast, lightweight sentence embeddings for semantic similarity

195.6Mdl/month

4,535likes

23Mparams

HuggingFace Use in Pipeline

Identifiers

Model ID

sentence-transformers/all-MiniLM-L6-v2

Feature URI

mixpeek://text_extractor@v1/st_minilm_l6_v2

Overview

all-MiniLM-L6-v2 is a compact sentence embedding model that maps sentences and paragraphs to a 384-dimensional dense vector space. Despite its small size, it achieves strong performance on semantic textual similarity benchmarks.

On Mixpeek, MiniLM is the fastest text embedding option — ideal for real-time search and high-throughput indexing where speed matters more than maximum embedding quality.

Architecture

MiniLM-L6 distilled from a larger teacher model. 6 transformer layers, 384-dim hidden size. Uses mean pooling over token embeddings. Fine-tuned on 1B+ sentence pairs.

Mixpeek SDK Integration

import { Mixpeek } from "mixpeek";

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

await mx.collections.ingest({
  collection_id: "my-collection",
  source: { url: "https://example.com/document.pdf" },
  feature_extractors: [{
    name: "text_embedding",
    version: "v1",
    params: {
      model_id: "sentence-transformers/all-MiniLM-L6-v2"
    }
  }]
});