# DeepSpeedExamples

**Repository Path**: tmfll/DeepSpeedExamples

## Basic Information

- **Project Name**: DeepSpeedExamples
- **Description**: aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-03-13
- **Last Updated**: 2024-04-03

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# DeepSpeed Examples
This repository contains various examples including training, inference, compression, benchmarks, and applications that use [DeepSpeed](https://github.com/microsoft/DeepSpeed).

## 1. Applications
This folder contains end-to-end applications that use DeepSpeed to train and use cutting-edge models.

## 2. Training
There are several training and finetuning examples so please see the individual folders for specific instructions.

## 3. Inference
- The DeepSpeed-MII inference [README](./inference/mii/README.md) explains how to get started with running model inference with [DeepSpeed-MII](https://github.com/Microsoft/DeepSpeed-MII) and [DeepSpeed-FastGen](https://github.com/microsoft/DeepSpeed/tree/master/blogs/deepspeed-fastgen).
- The DeepSpeed Huggingface inference [README](./inference/huggingface/README.md) explains how to get started with running DeepSpeed Huggingface inference examples.

## 4. Compression
Model compression examples.

## 5. Benchmarks
All benchmarks that use the DeepSpeed library are maintained in this folder.

# Build Pipeline Status
| Description | Status |
| ----------- | ------ |
| Integrations | [![nv-ds-chat](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-ds-chat.yml/badge.svg?branch=master)](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-ds-chat.yml) |

# Contributing

This project welcomes contributions and suggestions.  Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.