torchtitan
LLM trainer
A native PyTorch library for training large language models using distributed parallelism and optimization techniques.
A native PyTorch Library for large model training
3k stars
44 watching
222 forks
Language: Python
last commit: almost 2 years agoLinked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A PyTorch library for easily authoring and experimenting with large language models | 4,479 | |
| Developing and pretraining a GPT-like Large Language Model from scratch | 35,405 | |
| Tools for streamlined mixed precision and distributed training in PyTorch | 8,460 | |
| An unofficial implementation of PyTorch BigGANs for generating high-fidelity natural images | 2,874 | |
| A tool to simplify training and deployment of PyTorch models on various devices and configurations | 8,056 | |
| A framework for training large language models using scalable and optimized GPU techniques | 10,804 | |
| A re-implementation of Llama for efficient use with quantized weights on modern GPUs. | 2,783 | |
| A high-level library to help with training and evaluating neural networks in PyTorch | 4,554 | |
| A Python library providing tensors and dynamic neural networks with strong GPU acceleration | 84,978 | |
| Trains PyTorch models using a genetic algorithm | 96 | |
| An open-source toolkit for pretraining and fine-tuning large language models | 2,732 | |
| A PyTorch model fitting library designed to simplify the process of training deep learning models. | 636 | |
| A PyTorch library for training and retraining deep neural networks for person re-identification in images and videos. | 4,353 | |
| A PyTorch-based model training framework designed to simplify and streamline training workflows by providing a unified interface for various loss functions, optimizers, and validation metrics. | 1,822 | |
| A PyTorch implementation of the DeepLab-V3-Plus model with support for multiple backbones and datasets | 2,919 |