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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).
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}.
BITNET. This repository not only provides PyTorch implementations for training and evaluating 1.58-bit neural networks but also includes a unique integration where the experiments conducted automatically update a LaTeX-generated paper.
18 wrz 2024 · In the case of 4-bit models, methods that only quantize weights outperform those that quantize both weights and activations, as activations are harder to quantify. However, BitNet, which uses 1.58-bit weights, surpasses both weight-only and weight-and-activation quantization methods.
26 mar 2024 · BitNet b1.58 addresses this by halving activation bits, enabling a doubled context length with the same resources, with potential further compression to 4 bits or lower for 1.58-bit LLMs, a...
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).
5 mar 2024 · AI World Vision News. ·. 3 min read. ·. Mar 5, 2024. Image by: AI World Vision. Abstract. Recent research, exemplified by BitNet 1, is ushering in a new era of 1-bit Large Language Models (LLMs)....
