# OptimalScale/LMFlow

<https://repo.masters-masters.com/en/repos/OptimalScale/LMFlow>

[Home](https://repo.masters-masters.com/en) › [OptimalScale](https://repo.masters-masters.com/en/owners/OptimalScale) › [LMFlow](https://repo.masters-masters.com/en/repos/OptimalScale/LMFlow)

OptimalScale/LMFlow has 8,483 stars on GitHub. Its RepoMasters card: Stable tier. An Extensible Toolkit for Finetuning and Inference of Large Foundation…

| Field | Value |
| --- | --- |
| Owner | [OptimalScale](https://repo.masters-masters.com/en/owners/OptimalScale) |
| Stars | 8,483 |
| Forks | 822 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | chatgpt, deep-learning, instruction-following, language-model, pretrained-models, pytorch, transformer |
| Tier | [Stable (5,000 to 19,999 ★)](https://repo.masters-masters.com/en/ranks/cult) |
| View on GitHub | [OptimalScale/LMFlow](https://github.com/OptimalScale/LMFlow) |

## Repository

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

The tier for repos with 5,000 to 19,999 ★. Published odds per card pulled: 0.9%. Rarity: Very rare.

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.
