Search results
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).
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.
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}.
3 mar 2024 · What are 1-bit LLMs? The Era of 1-bit LLMs with BitNet b1.58. Mehul Gupta. ·. Follow. Published in. Data Science in your pocket. ·. 4 min read. ·. Mar 2, 2024. 998. 6....
24 cze 2024 · In this work, we investigate 1.58-bit quantization for small language and vision models ranging from 100K to 48M parameters. We introduce a variant of BitNet b1.58, which allows to rely on the median rather than the mean in the quantization process.
29 lut 2024 · BitNet b1.58 emerges as a solution, utilizing 1-bit ternary parameters to dramatically lighten the load on computational resources while maintaining high model performance. This section will...
29 lut 2024 · Brett Young. Created on February 29|Last edited on February 29. Comment. In the world of LLM’s, efficiency and performance are paramount. Enter BitNet b1.58, a model introducing a subtle yet impactful shift towards more sustainable and accessible AI technologies.
