Pick a language, level, and voice style, listen to a short reference voice, record yourself, then get simple speaking feedback and a next practice step.
Built with
openbmb VoxCPM2 for multilingual reference audio and MiniCPM5-1B for friendly feedback.
We’re excited to announce that Unsloth has joined the PyTorch Ecosystem! 🔥🦥
Unsloth is an open-source project that makes training & running models more accurate and faster with less compute. Our mission is to make local AI accessible to everyone. Thanks to all of you for making this possible! 💕
Introducing Unsloth Studio ✨ A new open-source web UI to train and run LLMs.
• Run models locally on Mac, Windows, Linux • Train 500+ models 2x faster with 70% less VRAM • Supports GGUF, vision, audio, embedding models • Auto-create datasets from PDF, CSV, DOCX • Self-healing tool calling and code execution • Compare models side by side + export to GGUF
Nanochat Moroccan is the first language model family built specifically for Moroccan Darija.
This project brings together a small family of models and datasets centered on Darija, with the goal of building something genuinely useful for a language that is still underserved in AI.
Moroccan Darija is spoken by millions of people, yet it remains underrepresented in language technology. Nanochat Moroccan is a step toward building tools that take the language seriously.
Just open sourced LavaSR v2: a model that can enhance 5000 seconds of audio in 1 second while being higher quality than giant and slow 6gb diffusion models!
It works with any sampling rate from 8-48khz and is nearly 5000x faster than competition while being superior in objective benchmarks.
LavaSR v2 is Perfect for - Enhancing TTS models. - Fixing old audio datasets. - Restoring low quality recordings.
You can check out the examples and run it locally or online:
build-small-hackathon : a tiny listen-and-repeat language practice app.
openbmb VoxCPM2 for multilingual reference audio and MiniCPM5-1B for friendly feedback.
