Hlas-1: open-weight 3B params TTS with frontier performance
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hlas-1: open-weight 3B params TTS with frontier performance launched on October 23, 2026 with 3 votes, #1,036 of 3,546 launches that month and more than 50% of that year's launches.
What it does
Hlas (Czech for voice ) is a 3.5B-parameter expressive text-to-speech model with zero-shot voice cloning and inline performance tags. At a size that runs on a single 12 GB GPU, it covers a wide range of emotions, deliveries, pauses and non-verbal sounds with studio-quality output, in English, Mandarin and a broad set of further languages. The text carries both the words and the performance: emotions, deliveries, pauses, laughs, sighs, accents and characters are written in square brackets at the position where they should happen. The response streams mono 24 kHz signed 16-bit PCM. A 12 GB GPU runs eager mode, a 24 GB GPU the --fast-all path. A tag applies from the position where it appears.…from huggingface.co
Does a similar job
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We beat Gemini Embedding 2 by training only 16M params (open weights)Jul 2026 · huggingface.co · ▲7We’re on a journey to advance and democratize artificial intelligence through open source and open science.

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