What is bitnet.cpp? Framework for Inferring 1-bit LLM by Microsoft in C/C++ Language

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What is bitnet.cpp?

bitnet.cpp is a 1-bit LLM inference framework by Microsoft in C/C++ language.

bitnet.cpp is developed based on llama.cpp.

If you are interested in llama.cpp, please click the following.

What is llama.cpp? Framework for Inferring Large Language Models such as LLaMA in C/C++ Language

We can help you with your concerns. You can learn from us. What is llama.cpp? llama.cpp is a framework for inferring Large Language Models (LLMs) such as LLaMA in C/C++ language. The main goal of llama.cpp is to enable LLM inference with minimal setup and state-of-the-art performance on a variety of hardware, both locally and in the cloud. For reference, LLaMA is an open-source framework of large-scale language models in the Python language developed by Meta (formerly Facebook).

$ git clone https://github.com/meta-llama/llama

1	$ git clone https://github.com/meta-llama/llama

The license is LLAMA 2 COMMUNITY LICENSE AGREEMENT. If you want to know more about AI chatbots with large language models ...

bitnet.cpp is available as open source on GitHub.

$ git clone https://github.com/microsoft/BitNet

1	$ git clone https://github.com/microsoft/BitNet

The open source license is MIT License.

The features and limitations of bitnet.cpp are as follows.

Supporting fast, lossless inference of 1.58-bit models on CPUs (NPUs and GPUs to be supported)
On ARM CPUs, achieves speedups ranging from 1.37x to 5.07x and power reductions ranging from 55.4% to 70.0%
On x86 CPUs, achieved speedups ranging from 2.37x to 6.17x and power consumption reductions ranging from 71.9% to 82.2%
100B BitNet b1.58 model running on a single CPU achieved speeds comparable to human reading speed (5 to 7 tokens per second)

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Summary

We introduced bitnet.cpp, a 1-bit LLM inference framework in C/C++ language by Microsoft.

bitnet.cpp was found to be energy efficient.