# optimalscale/lmflow

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8,488 stars · 828 forks · Python · Apache-2.0

## Links

- GitHub: https://github.com/OptimalScale/LMFlow
- Homepage: https://optimalscale.github.io/LMFlow/
- awesome-repositories: https://awesome-repositories.com/repository/optimalscale-lmflow.md

## Topics

`chatgpt` `deep-learning` `instruction-following` `language-model` `pretrained-models` `pytorch` `transformer`

## Description

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

## Tags

### Part of an Awesome List

- [Language Model Development](https://awesome-repositories.com/f/awesome-lists/ai/language-model-development.md) — Toolbox for efficient fine-tuning of large models.
- [LLM Training and Optimization](https://awesome-repositories.com/f/awesome-lists/ai/llm-training-and-optimization.md) — Toolbox for scalable and efficient fine-tuning of machine learning models.
- [Model Fine Tuning](https://awesome-repositories.com/f/awesome-lists/ai/model-fine-tuning.md) — Provides a toolkit for fine-tuning and inference of large foundation models.
- [Natural Language Processing](https://awesome-repositories.com/f/awesome-lists/ai/natural-language-processing.md) — Listed in the “Natural Language Processing” section of the FunNLP awesome list.
- [Text LLM Models](https://awesome-repositories.com/f/awesome-lists/ai/text-llm-models.md) — Bilingual model framework supporting efficient personalized fine-tuning.
- [LLM Utilities](https://awesome-repositories.com/f/awesome-lists/devtools/llm-utilities.md) — Extensible toolkit for efficient model fine-tuning.