Transformers now runs llama.cpp quants
Hugging Face’s Transformers library can now run models quantized in the llama.cpp format.
Hugging Face’s Transformers library can now run models quantized in the llama.cpp format.
Jun Kim, who created and maintains oMLX, is joining Hugging Face. His role will focus on supporting the community around MLX, Apple’s machine learning framework.
NVIDIA has released Isaac ROS 5.0, a set of GPU-accelerated packages built on the open ROS robotics framework. It targets developers building robots that perceive, reason and act in changing environments.
Hugging Face has released version 1 of its tokenizers library, with measurements of encoding, decoding and scaling performance.
Hugging Face now hosts reinforcement learning environments on its Hub.
Hugging Face has introduced an open leaderboard for evaluating multilingual text-to-speech and voice cloning models at scale.