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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).
- microsoft_BitNet/README.md at main · kurhula/microsoft_BitNet - GitHub
bitnet.cpp is the official inference framework for 1-bit...
- microsoft_BitNet/README.md at main · kurhula/microsoft_BitNet - GitHub
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).
22 paź 2024 · In this work, we introduce bitnet.cpp, a tailored software stack designed to unlock the full potential of 1-bit LLMs. Specifically, we develop a set of kernels to support fast and lossless inference of ternary BitNet b1.58 LLMs on CPUs. Extensive experiments demonstrate that bitnet.cpp achieves significant speedups, ranging from 2.37x to 6.17x ...
25 paź 2024 · 1-bit LLMs are an important innovation in the area of large language models.Unlike traditional LLMs that use 32-bit or 16-bit floating point numbers to represent weights and activations, 1-bit LLMs quantise the values to just 1-bit. This reduces the computational footprint and increases the inferencing speed drastically. Recently, Microsoft released bitnet.cpp, a framework for faster and ...
18 wrz 2024 · BitNet is an architecture introduced by Microsoft Research that uses extreme quantization, representing each parameter with only three values: -1, 0, and 1. This results in a model that uses just 1.58 bits per parameter, significantly reducing computational and memory requirements.
arXiv. Publication. The increasing size of large language models has posed challenges for deployment and raised concerns about environmental impact due to high energy consumption. In this work, we introduce BitNet, a scalable and stable 1-bit Transformer architecture designed for large language models.
28 lut 2024 · 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).
