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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).
README.md. 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).
9 mar 2024 · With the increasing size of models and data, it is becoming increasingly difficult to run and train these models for individuals and even for medium-sized groups without enough resources. This...
Key Features of BitNet.cpp. BitNet.cpp comes with a treasure trove 🪙 of features designed to optimize performance and usability: Optimized Performance 🚀: BitNet.cpp is fine-tuned to run seamlessly on both ARM and x86 CPUs — commonly found in PCs and mobile devices. Performance gains are impressive 🔥; on ARM CPUs, speed increases range from 1.37x to 5.07x, and on x86 CPUs, up to 6.17x.
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, with...
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 ...
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.
