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[GH-ISSUE #15351] TurboQuant #35580

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opened 2026-04-22 20:10:22 -05:00 by GiteaMirror · 0 comments
GiteaMirror commented 2026-04-22 20:10:22 -05:00
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Originally created by @EJainDev on GitHub (Apr 5, 2026).
Original GitHub issue: https://github.com/ollama/ollama/issues/15351

Google recently released TurboQuant, an algorithm that reduces K/V cache size significantly (4-6x) with almost 0 accuracy loss. Can this be implemented for Ollama to allow for running with larger context sizes? Preferably as a parameter option.

Link to TurboQuant research:

https://research.google/blog/turboquant-redefining-ai-efficiency-with-extreme-compression/

Originally created by @EJainDev on GitHub (Apr 5, 2026). Original GitHub issue: https://github.com/ollama/ollama/issues/15351 Google recently released TurboQuant, an algorithm that reduces K/V cache size significantly (4-6x) with almost 0 accuracy loss. Can this be implemented for Ollama to allow for running with larger context sizes? Preferably as a parameter option. Link to TurboQuant research: https://research.google/blog/turboquant-redefining-ai-efficiency-with-extreme-compression/
GiteaMirror added the feature request label 2026-04-22 20:10:22 -05:00
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Reference: github-starred/ollama#35580
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