Tag
A user released a BitNet trainer that Microsoft never published, along with custom kernels for training and inference, while also highlighting Microsoft's bitnet.cpp inference framework for fast 1-bit LLM inference on CPUs and GPUs.
PrismML announces Bonsai 27B, a 1-bit and ternary quantized version of Qwen3.6 27B that runs on phones and laptops, retaining 90-95% of baseline performance with a 3.9GB footprint, enabling agentic and multimodal on-device AI.
Bonsai 27B is a 1-bit dense large language model that can run locally in a browser using custom WebGPU kernels, enabling efficient on-device inference.