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PyTorch code for Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
Official repository of Evolutionary Optimization of Model Merging Recipes
Schedule-Free Optimization in PyTorch
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Pytorch Implementation for Neural Point Characters (NPC)
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
Implementation of TiTok, proposed by Bytedance in "An Image is Worth 32 Tokens for Reconstruction and Generation"
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
Finetuning Large Language Models on One Consumer GPU in Under 4 Bits
The Natural Language Decathlon: A Multitask Challenge for NLP
An actively maintained, feature-rich and performance oriented, neofetch like system information tool.
The Triton TensorRT-LLM Backend
Create web-based user interfaces with Python. The nice way.
A native PyTorch Library for large model training
A lightweight, object-oriented finite state machine implementation in Python with many extensions
Python Finite State Machines made easy.
CoreNet: A library for training deep neural networks
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
A Native-PyTorch Library for LLM Fine-tuning
[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling