AuroraTTS-100K Releases!
It is an english text to speech model, which achieves mostly understandable speech in under 100K parameters.
Proof1 community thread
Key points
- Quantized to INT8 it only takes up 127KB.
- 72x real time on a CPU
- Check out the model card for more info or to try it out yourself!
- Questions, feedback, or criticism is welcome!
Sources (1)
- [1]AuroraTTS-100K Releases!r/LocalLLaMA (top, daily) · Oct 22, 08:08 PM
It is an english text to speech model, which achieves mostly understandable speech in under 100K parameters.
Quantized to INT8 it only takes up 127KB.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 22, 2026capy-flash v0.7.1: Qwen3.8-Flash-Next (125B MoE) now runs in 64 GB of RAM (234 tok/s on two 16 GB cards), and Qwen3.8-27B 3-bit fits on a single 16 GB card (174 tok/s)
- Oct 22, 20262-bit copy in VRAM + exact residual in system RAM as the verifier: speculative decoding for models that don't fit your GPU
- Oct 21, 2026Recursive shows first result of its AI-driven research process with Flint
- Oct 20, 2026Gradium Open-Sources Phonon, a 31M-Parameter On-Device TTS Model Under Apache 2.0
- Oct 20, 2026Voxtral 3
- Oct 20, 2026[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback
