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bitnet.cpp is the official inference framework for 1-bit LLMs (e.g., BitNet b1.58). It offers a suite of optimized kernels, that support fast and lossless inference of 1.58-bit models on CPU (with NPU and GPU support coming next).
bitnet.cpp is the official inference framework for 1-bit LLMs (e.g., BitNet b1.58). It offers a suite of optimized kernels, that support fast and lossless inference of 1.58-bit models on CPU (with NPU and GPU support coming next).
In this work, we introduce BitNet, a scalable and stable 1-bit Transformer architecture designed for large language models. Specifically, we introduce BitLinear as a drop-in replacement of the nn.Linear layer in order to train 1-bit weights from scratch.
28 lut 2024 · #1 Paper of the day. Authors: Shuming Ma , Hongyu Wang , Lingxiao Ma , Lei Wang , Wenhui Wang. , Shaohan Huang , Li Dong , Ruiping Wang , Jilong Xue , Furu Wei. Abstract. Recent research, such as BitNet, is paving the way for a new era of 1-bit Large Language Models (LLMs).
7 sty 2024 · BitNet, a revolutionary 1-bit Transformer architecture, has been turning heads in the AI community. While it offers significant benefits for Large Language Models (LLMs), it’s essential to understand its design, advantages, limitations, and the unique security concerns it poses. Architectural Design and Comparison.
18 paź 2024 · bitnet.cpp is the official framework for inference with 1-bit LLMs (e.g., BitNet b1.58). It includes a set of optimized kernels for fast and lossless inference of 1.58-bit models on CPUs,...
What is bitnet.cpp? bitnet.cpp is a C++ library that loads and runs 1-bit quantized LLMs. 1-bit quantization represents the weights of a neural network using just a single bit per value,...
