ollama - 💡(How to fix) Fix TurboQuant [1 participants]

TL;DR

Implementing TurboQuant algorithm in Ollama as a parameter option could allow for running with larger context sizes by reducing K/V cache size.

Guidance

• Investigate the TurboQuant research paper to understand the algorithm's requirements and potential integration points with Ollama.
• Evaluate the feasibility of adding a parameter option to Ollama to enable or disable the TurboQuant algorithm, considering potential performance and accuracy trade-offs.
• Assess the compatibility of TurboQuant with Ollama's existing architecture and dependencies to determine the scope of necessary changes.
• Consider reaching out to the TurboQuant research team or community for guidance on implementing the algorithm in Ollama.

Notes

The implementation of TurboQuant in Ollama may require significant development and testing efforts, and the accuracy loss should be carefully evaluated to ensure it meets the requirements of Ollama's use cases.

Recommendation

Apply workaround: Implement TurboQuant algorithm in Ollama as a parameter option, allowing users to balance cache size reduction with potential accuracy trade-offs, and monitor the results to determine the best approach.