# BorealisAI/flora-opt

<https://repo.masters-masters.com/en/repos/BorealisAI/flora-opt>

[Home](https://repo.masters-masters.com/en) › [BorealisAI](https://repo.masters-masters.com/en/owners/BorealisAI) › [flora-opt](https://repo.masters-masters.com/en/repos/BorealisAI/flora-opt)

BorealisAI/flora-opt has 106 stars on GitHub. Its RepoMasters card: Prototype tier. This is the official repository for the paper "Flora: Low-Rank Adapters…

| Field | Value |
| --- | --- |
| Owner | [BorealisAI](https://repo.masters-masters.com/en/owners/BorealisAI) |
| Stars | 106 |
| Forks | 5 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | LGPL-3.0 |
| Created | 2024 |
| Topics | deep-learning, flax, jax, large-language-models, lora, memory-efficient-tuning, optax, peft, random-projection, transformers |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [BorealisAI/flora-opt](https://github.com/BorealisAI/flora-opt) |

## Repository

This is the official repository for the paper "Flora: Low-Rank Adapters Are Secretly Gradient Compressors" in ICML 2024.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.