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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).
21 paź 2024 · bitnet.cpp is an official inference framework for 1-bit large language models (LLMs), developed by Microsoft to enable efficient and low-energy inference on CPUs. Meanwhile, despite its...
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.
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...
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 · Recent research, such as BitNet, is paving the way for a new era of 1-bit Large Language Models (LLMs). In this work, we introduce a 1-bit LLM variant, namely BitNet b1.58, in which every single parameter (or weight) of the LLM is ternary {-1, 0, 1}.
