Hugging Face

Mistral has announced the launch of Voxtral Transcribe 2, a sophisticated suite of speech-to-text models featuring Voxtral Mini Transcribe V2 and Voxtral Realtime. These models deliver state-of-the-art accuracy in 13 languages, introducing features like speaker diarization, word-level timestamps, and context biasing for technical terminology. Voxtral Realtime stands out with sub-200ms latency and an open-weights Apache 2.0 license, making it ideal for edge deployment and privacy-focused voice agents. Meanwhile, Voxtral Mini Transcribe V2 offers industry-leading price-performance at $0.003 per minute, outperforming competitors like Gemini and GPT-4o mini in accuracy and speed. The release also includes a dedicated audio playground in Mistral Studio for instant testing.

The ggml.ai team, creators of llama.cpp, has joined Hugging Face to scale and support the development of local AI. This formal partnership aims to secure the project's long-term progress, building on successful past collaborations while enhancing the open-source ecosystem and democratizing access to high-performance AI models on consumer hardware.

Hugging Face Skills provides standardized definitions for AI/ML tasks like dataset creation, model training, and evaluation. These interoperable modules are compatible with major coding agents including OpenAI Codex, Claude Code, Gemini CLI, and Cursor, allowing developers to extend agent capabilities using self-contained instruction folders and scripts.