Laurent Mazare
@lmazare.bsky.social
Functional programming enjoyer.
Afraid of missing out on French pop culture references because you don't speak the language? Fear no more and try our Hibiki speech-to-speech translation model— no more FOMO! 🇫🇷✨ #Translation #AI
February 12, 2025 at 1:39 PM
Afraid of missing out on French pop culture references because you don't speak the language? Fear no more and try our Hibiki speech-to-speech translation model— no more FOMO! 🇫🇷✨ #Translation #AI
We just released Hibiki 🟢, a real time speech-to-speech translation 🇫🇷 -> 🇬🇧. It preserves the voice of the user, and the smaller variant can run on iPhone as showed by Neil in this video.
Find the code on github github.com/kyutai-labs/... and the weights on HF and give it a spin!
Find the code on github github.com/kyutai-labs/... and the weights on HF and give it a spin!
February 7, 2025 at 8:26 AM
We just released Hibiki 🟢, a real time speech-to-speech translation 🇫🇷 -> 🇬🇧. It preserves the voice of the user, and the smaller variant can run on iPhone as showed by Neil in this video.
Find the code on github github.com/kyutai-labs/... and the weights on HF and give it a spin!
Find the code on github github.com/kyutai-labs/... and the weights on HF and give it a spin!
Last week we've received a new M4pro mac mini so I've benched it with various matmul variants and the results are pretty impressive for a tiny form factor. Even with a naive approach it reaches ~5.2TFlops in f32 (so probably more than 10TFlops in bf16), and that's just using the GPU, no NPU for now.
November 24, 2024 at 12:20 PM
Last week we've received a new M4pro mac mini so I've benched it with various matmul variants and the results are pretty impressive for a tiny form factor. Even with a naive approach it reaches ~5.2TFlops in f32 (so probably more than 10TFlops in bf16), and that's just using the GPU, no NPU for now.