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Bitnet 1.58b: This project implements the innovative 1-bit LLM architecture described in recent whitepapers, focusing on efficient training, inference, and open-source collaboration. - puneetkakkar...
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).
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}.
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.
17 paź 2023 · This work introduces bitnet.cpp, a tailored software stack designed to unlock the full potential of 1-bit LLMs, and develops a set of kernels to support fast and lossless inference of ternary BitNet b1.58 LLMs on CPUs.
27 lut 2024 · Computer Science. TLDR. This work introduces a 1-bit LLM variant, namely BitNet b1.58, in which every single parameter of the LLM is ternary, which defines a new scaling law and recipe for training new generations of LLMs that are both high-performance and cost-effective. Expand. [PDF] Semantic Reader. Save to Library. Create Alert. Cite.
