{
  "id": 4971201,
  "title": "Calibration-free compression brings Evo 2 to its full million-token context on a single GPU",
  "url": "https://urgent.news/2026/09/01/calibration-free-compression-brings-evo-2-to-its-full-million-token",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-09-01T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.28.747902v1?rss=1"
  },
  "original_language": "en",
  "account": "Evo 2, the largest openly available genomic foundation model, features 40 billion parameters that exceed the capacity of a single 80 GB accelerator for genome-scale analysis. To overcome this limitation, researchers have introduced TurboQuant-Bio, an open toolkit that compresses Evo 2's weights and attention cache to four bits, employing calibration-free compression without requiring calibration data. This compression is near-lossless across various applications, including perplexity spanning the tree of life, genomic classification, splice-site prediction, gene completion, and clinically relevant variant-effect prediction.\n\nWith the aid of TurboQuant-Bio, Evo 2 40B can now run on a single 80 GB GPU, while Evo 2 7B can achieve its full million-token context within a 40 GB memory budget. This represents an eightfold increase in the reachable context for Evo 2. However, the researchers also identified an issue with the released chunked-prefill path, which returns plausible but uncorrelated likelihoods. To rectify this, they derived a block-wise continuation that accurately repairs the problem, enabling a complete 580-kilobase bacterial genome to be scored within a single context in just 22 minutes. In contrast, the previous method took 13.7 hours to accomplish this task.",
  "summary": "Evo 2 is the largest openly available genomic foundation model, but its forty billion parameter configuration cannot be loaded onto a single 80 GB accelerator, placing genome-scale analysis beyond most laboratories. We present TurboQuant-Bio, an open toolkit that compresses Evo 2s weights and attention cache to four bits without calibration data, and serves both through fused kernels. Compression…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}