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Nianhui Guo's Projects

aqlm icon aqlm

Official Pytorch repository for Extreme Compression of Large Language Models via Additive Quantization https://arxiv.org/pdf/2401.06118.pdf

bitblas icon bitblas

BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.

bitnet icon bitnet

Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

bitorch-engine icon bitorch-engine

A toolkit enhances PyTorch with specialized functions for low-bit quantized neural networks.

colossalai icon colossalai

Making big AI models cheaper, easier, and scalable

convcrf icon convcrf

This repository contains the reference implementation for our proposed Convolutional CRFs.

cutlass icon cutlass

CUDA Templates for Linear Algebra Subroutines

deep-learning-interview-book icon deep-learning-interview-book

深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)

dropouts icon dropouts

PyTorch Implementations of Dropout Variants

eto icon eto

Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents

fastchat icon fastchat

The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"

gpt-fast icon gpt-fast

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

hqq icon hqq

Official implementation of Half-Quadratic Quantization (HQQ)

hyper-binarynet icon hyper-binarynet

This is the code for paper "Gradients Matters: Designing Binarized Neural Network via Enhanced Infornation Flow"

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