gemini-cli - 💡(How to fix) Fix [Voice] Whisper Model Mirroring [1 participants]

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google-gemini/gemini-cli#25496Fetched 2026-04-16 07:05:38
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Currently, the Whisper models are being pulled directly from Hugging Face. For improved security, reliability, and bandwidth control, we should mirror these models to our own storage infrastructure.

Root Cause

Currently, the Whisper models are being pulled directly from Hugging Face. For improved security, reliability, and bandwidth control, we should mirror these models to our own storage infrastructure.

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Description

Currently, the Whisper models are being pulled directly from Hugging Face. For improved security, reliability, and bandwidth control, we should mirror these models to our own storage infrastructure.

Requirements

  • Evaluate hosting Whisper weights securely (e.g., in a GCS bucket or similar infrastructure).
  • Update the WhisperModelManager download URLs to point to the mirrored locations.

Epic: #24175

extent analysis

TL;DR

Mirroring Whisper models to a secure storage infrastructure, such as a GCS bucket, and updating the WhisperModelManager download URLs is likely to improve security, reliability, and bandwidth control.

Guidance

  • Evaluate the security and accessibility of hosting Whisper model weights in a GCS bucket or similar infrastructure to ensure it meets the project's requirements.
  • Update the WhisperModelManager class to point to the mirrored model locations, replacing the current Hugging Face URLs.
  • Consider implementing access controls and authentication for the mirrored model storage to maintain security.
  • Verify that the updated WhisperModelManager can successfully download and utilize the mirrored models.

Example

No code example is provided as the issue does not contain sufficient technical details about the implementation.

Notes

The solution may vary depending on the specific requirements and constraints of the project, such as the chosen storage infrastructure and security protocols.

Recommendation

Apply workaround: Mirroring the Whisper models to a secure storage infrastructure and updating the WhisperModelManager download URLs, as this approach directly addresses the stated security, reliability, and bandwidth control concerns.

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