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Voxtral #20970
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Voxtral #20970
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Summary of Changes
Hello @patrickvonplaten, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request integrates the Voxtral audio-language model into vLLM, allowing for multimodal inference that processes both audio and text. It involves significant updates to the input handling, model architecture, and configuration system to support this new capability, building upon the mistral_common
library for audio processing and tokenization.
Highlights
- New Model Support: This pull request introduces comprehensive support for the 'Voxtral' audio-language model, enabling multimodal inference capabilities within vLLM that combine both audio and text inputs.
- Enhanced Multimodal Input Handling: The system's input processing has been significantly upgraded to natively handle audio data alongside traditional text prompts. This includes advanced tokenization and embedding generation tailored for multimodal inputs.
- Deep
mistral_common
Integration: The changes heavily leverage themistral_common
library for core audio processing, tokenization, and adherence to chat completion and transcription protocols, ensuring seamless compatibility with Mistral's multimodal model ecosystem. - Whisper Encoder Reusability: The existing Whisper encoder implementation has been adapted and modified to function as a reusable, standalone component within the Voxtral model. This involved adjustments to its attention mechanisms and weight loading procedures.
- Flexible Configuration System: The configuration parsing logic has been extended to accurately identify and set up audio-language models like Voxtral. This includes remapping Mistral-specific multimodal arguments to vLLM's internal model configurations for proper initialization.
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Code Review
This pull request introduces support for the Voxtral model, a multi-modal audio-language model. The changes are comprehensive and well-structured. I have provided feedback to improve code clarity, maintainability, and address a few dependency updates.
# @cached_property | ||
# def begin_transcript_token_id(self) -> int: | ||
# return self._audio_processor.special_ids.begin_transcript | ||
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# @cached_property | ||
# def end_transcript_token_id(self) -> int: | ||
# return self._audio_processor.special_ids.end_transcript |
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Is this needed for transcription?
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Ah if it's commented out probably not -> I can kill it
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LGTM, thanks for the clean work! Just a few sanity check questions
This reverts commit 6a699ec.
Head branch was pushed to by a user without write access
Signed-off-by: Patrick von Platen <[email protected]> Co-authored-by: Cyrus Leung <[email protected]> Signed-off-by: Patrick von Platen <[email protected]>
Signed-off-by: Patrick von Platen <[email protected]> Co-authored-by: Cyrus Leung <[email protected]> Signed-off-by: Himanshu Jaju <[email protected]>
Signed-off-by: Patrick von Platen <[email protected]> Co-authored-by: Cyrus Leung <[email protected]>
Needs: mistralai/mistral-common#119