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Kyutai

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Headlines · 3

  1. Transformers v5.21.0 Adds OCR, MoE, Vision and TTS Models

    Transformers v5.21.0 adds support for OpenBMB’s MiniCPM-OCR document-understanding model, Recursive’s Flint mixture-of-experts language model, UltraVBert for visual document understanding and retrieval, Gradium Phonon TTS and Kyutai’s Pocket TTS. The release notes describe MiniCPM-OCR as specialized for text-dense images such as scanned pages, screenshots, receipts and tables. Quantization changes address DeepSeek-V4.1’s FP4 experts and prevent TimesFM 2.5 from casting float inputs to integer weight dtypes when loaded with 4-bit or 8-bit quantization. The release also includes bug fixes and infrastructure updates.

    Transformers Releases · 🔥 0
  2. Reddit posts say Kyutai released three smaller Pocket TTS models, down to 1.9M parameters

    Posts on r/LocalLLaMA say Kyutai released three smaller Pocket TTS models on October 20, at 1.9M, 6.9M and 18.2M parameters. According to the same community posts, the models are English, support voice cloning and are designed to run on CPU, with the sizes switchable in a demo. The poster says the parameter counts include the audio decoder, while the reference-voice encoder is separate and only needs to be encoded once; no Kyutai statement or independent test was supplied.

    r/LocalLLaMA · 🔥 0
  3. Baseten offers dedicated Gradium TTS deployment

    Baseten published a post describing Gradium TTS as available in its Model Library as a dedicated deployment. Baseten says the model targets real-time voice agents and uses Delayed Streams Modeling, a framework developed by Kyutai that aligns text and audio on a shared 80 ms clock and runs the audio stream a few steps behind the text, so speech can begin before the full response has been generated. The post also cites Coval benchmarks reporting a median time-to-first-audio of 214 ms as of September 2026, which Baseten describes as faster than typical human speech response times.

    Baseten Blog · 🔥 0

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