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- GitHub - microsoft BitNet: Official inference framework for 1-bit LLMs
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 and GPU (NPU support will coming next)
- BitNet 学习笔记 - 知乎
在论文中，最棒的结果莫过于BitNet体现出了良好的scaling law，即通过小参数模型的训练loss和参数量，可以准确地预测更大参数量模型的训练结果，而且与FP16精度模型的差距随着参数量增大而减少。
- BitNet: Scaling 1-bit Transformers for Large Language Models
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 this http URL layer in order to train 1-bit weights from scratch
- 0帧起手本地跑一下BitNet - CSDN博客
BitNet是微软近期推出的极限精简的推理框架，官方的介绍里，详细介绍了它的架构优势，以及和其他模型的对比实验，总结起来就是不挑设备，不占资源，不减性能！
- microsoft bitnet-b1. 58-2B-4T · Hugging Face
This repository contains the weights for BitNet b1 58 2B4T, the first open-source, native 1-bit Large Language Model (LLM) at the 2-billion parameter scale, developed by Microsoft Research
- 微软BitNet项目全面调研分析 | 凿壁
微软BitNet项目是一种革命性的1比特大语言模型技术，本文对其技术原理、性能评估、社区评价及发展趋势进行全面分析，融合多家大语言模型的观点，为读者提供对这一前沿AI技术的深入认识。
- 如何看待微软提出的BitNet b1. 58？ - 知乎
由于论文中没有提到反向传递的细节、以及梯度放缩的内容，BitNet现阶段很可能只是通过伪量化的方式进行训练，也就是说实际的运算可能还是fp16或者bf16矩阵乘法。
- [2504. 18415] BitNet v2: Native 4-bit Activations with Hadamard . . .
We introduce BitNet v2, a novel framework enabling native 4-bit activation quantization for 1-bit LLMs To tackle outliers in attention and feed-forward network activations, we propose H-BitLinear, a module applying an online Hadamard transformation prior to activation quantization
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