
We're sharing/showcasing best of @huggingface models. Follow to stay in loop. Promoting Open-Source models.
Joined December 2025
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Meet void.1 by dotlabs: a text-generation model built on Qwen3 with byte-level pretraining on the massive climbmix-400b-shuffle dataset. It's a fresh take on symbolic reasoning for the community.
Meet Phonon-40m-en: a tiny but mighty text-to-speech model that runs on-device and streams audio in real time. At just 40M parameters, it brings natural voice synthesis to phones and edge devices without the cloud.
Meet Qwen3.8-Flash-Next-DFlash2: a draft model built for speculative decoding. It pairs with Qwen3.8-Flash-Next to make text generation faster by predicting tokens ahead of time. Speed boost incoming.
Meet Ming-3.0-tts-0.5B: a compact text-to-speech model that clones voices in multiple languages. With only 0.5B parameters, it delivers high-quality speech generation that's easy to deploy. Perfect for developers exploring TTS!



