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matryoshka

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Small LLMs (135M to 1.7B) turned into embedding models that store each document in 16 bytes. Bidirectional attention, distilled from Qwen3 Embedding 8B and ColBERT, Matryoshka and binary aware training. Runs on Colab T4 and RunPod, ships to Sentence Transformers, vLLM, ONNX and the browser.

  • Updated Oct 26, 2026
  • Python

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