Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Edit doc and readme #603

Merged
merged 2 commits into from
Aug 9, 2023
Merged

Edit doc and readme #603

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
2679fb9
reorganize
hendrydong Aug 7, 2023
c0ab0e6
Merge branch 'main' into doc-edit
hendrydong Aug 7, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
16 changes: 1 addition & 15 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@

An extensible, convenient, and efficient toolbox for finetuning large machine learning models, designed to be user-friendly, speedy and reliable, and accessible to the entire community.

Large Model for All. See our [vision](https://github.com/OptimalScale/LMFlow#vision).
Large Model for All.

<p align="center" width="100%">
<img src="assets/features.png" alt="LMFlow-features" style="width: 100%; min-width: 300px; display: block; margin: auto;">
Expand Down Expand Up @@ -395,20 +395,6 @@ Then you can check the model performance at our [Doc](https://optimalscale.githu
## Documentation
Please refer to our [Documentation](https://optimalscale.github.io/LMFlow/) for more API reference and experimental results.

## Vision
Hello there! We are excited to announce the upcoming release of our code repository that includes a complete LLM training process, enabling users to quickly build their own language models and train them effectively.

Our code repository is not just a simple model; it includes the complete training workflow, model optimization, and testing tools. You can use it to build various types of language models, including conversation models, question-answering models, and text generation models, among others.

Moreover, we aim to create an open and democratic LLM sharing platform where people can share their checkpoints and experiences to collectively improve the skills of the community. We welcome anyone who is interested in LLM to participate and join us in building an open and friendly community!

Whether you are a beginner or an expert, we believe that you can benefit from this platform. Let's work together to build a vibrant and innovative LLM community!

[![Embark](https://img.shields.io/badge/discord-LMFlow-%237289da.svg?logo=discord)](https://discord.gg/u9VJNpzhvA)
[![slack badge](https://img.shields.io/badge/Slack-join-blueviolet?logo=slack&amp)](https://join.slack.com/t/lmflow/shared_invite/zt-1wju9nicy-woXbNtS~5MavHSAtiMxmxQ)
[![WeChat badge](https://img.shields.io/badge/WeChat-Join-brightgreen?logo=wechat&amp)](https://s1.ax1x.com/2023/08/06/pPAQTPI.jpg)



## Acknowledgement
LMFlow draws inspiration from various studies, including but not limited to:
Expand Down
14 changes: 14 additions & 0 deletions docs/source/index.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -158,6 +158,20 @@ autoapi/index
about/index
```

## Vision
Hello there! We are excited to announce the upcoming release of our code repository that includes a complete LLM training process, enabling users to quickly build their own language models and train them effectively.

Our code repository is not just a simple model; it includes the complete training workflow, model optimization, and testing tools. You can use it to build various types of language models, including conversation models, question-answering models, and text generation models, among others.

Moreover, we aim to create an open and democratic LLM sharing platform where people can share their checkpoints and experiences to collectively improve the skills of the community. We welcome anyone who is interested in LLM to participate and join us in building an open and friendly community!

Whether you are a beginner or an expert, we believe that you can benefit from this platform. Let's work together to build a vibrant and innovative LLM community!

[![Embark](https://img.shields.io/badge/discord-LMFlow-%237289da.svg?logo=discord)](https://discord.gg/u9VJNpzhvA)
[![slack badge](https://img.shields.io/badge/Slack-join-blueviolet?logo=slack&amp)](https://join.slack.com/t/lmflow/shared_invite/zt-1wju9nicy-woXbNtS~5MavHSAtiMxmxQ)
[![WeChat badge](https://img.shields.io/badge/WeChat-Join-brightgreen?logo=wechat&amp)](https://s1.ax1x.com/2023/08/06/pPAQTPI.jpg)


## Citation

```bibtex
Expand Down