Gemma 4 is here!
🧠 31B and 26B A4B for models with impressive intelligence per parameter
🤏E2B and E4B for mobile and IoT
🤗Apache 2.0
🤖Base and IT checkpoints available
Available in AI Studio, Hugging Face, Ollama, Android, and your favorite OS tools 🚀Download it today!
Today, we release our 🇫🇷 to 🇬🇧 simultaneous speech-to-speech translation system, called Hibiki. It runs on-device & the model, inference code and tech report are available. This is built using the same audio LLM as Moshi, showing its versatility. 🟢
Meet Hibiki, our simultaneous speech-to-speech translation model, currently supporting 🇫🇷➡️🇬🇧.
Hibiki produces spoken and text translations of the input speech in real-time, while preserving the speaker’s voice and optimally adapting its pace based on the semantic content of the source speech.
Based on objective and human evaluations, Hibiki outperforms previous systems for quality, naturalness and speaker similarity and approaches human interpreters. 🧵
Excited to release a preview of Helium-1, our 2B LLM targeting edge and mobile devices. 🚀
More to come in the future: training code, support for more languages, data pipeline, tech report & more… 🟢
Meet Helium-1 preview, our 2B multi-lingual LLM, targeting edge and mobile devices, released under a CC-BY license. Start building with it today!
https://t.co/X4Dbx2T1cJ
Meet Helium-1 preview, our 2B multi-lingual LLM, targeting edge and mobile devices, released under a CC-BY license. Start building with it today!
https://t.co/X4Dbx2T1cJ
Looking forward to discuss open research at @kyutai_labs. If you want to work on large scale multimodal LLMs, come and talk to us, this is what we look like 👇☕️
✈️ I will be attending #NeurIPS2023: let me know if you want to chat about the future of LLMs, and how to democratize them.
🌐 We are also hiring members of technical staff and interns @kyutai_labs. Happy to talk about the lab and our mission.
Announcing Kyutai: a non-profit AI lab dedicated to open science. Thanks to Xavier Niel (@GroupeIliad), Rodolphe Saadé (@cmacgm) and Eric Schmidt (@SchmidtFutures ), we are starting with almost 300M€ of philanthropic support. Meet the team ⬇️
@abacaj Yes, we have a couple of papers on that exact topic with @gizacard and @PSH_Lewis. Combining these advances lead to the Atlas language model (paper: https://t.co/SJd9yOG23g, code: https://t.co/9iK030WDLV).