# RAM

**Repository Path**: D0302tingForever/RAM

## Basic Information

- **Project Name**: RAM
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-02-16
- **Last Updated**: 2025-02-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# RAM
## Introduction
This repository focuses on developing advanced algorithms and methods for RAM (Reasoning, Alignment, Memory).

<!---
- [System 2 Attention (is something you might need too)](https://arxiv.org/pdf/2311.11829.pdf)
- [Some things are more CRINGE than others: Preference Optimization with the Pairwise Cringe Loss](https://arxiv.org/pdf/2312.16682.pdf)

## Installation
To install the project, clone the repository and install the required dependencies:
```bash
git clone https://github.com/facebookresearch/RAM.git
cd RAM
pip install -r requirements.txt
```
-->

## Projects
Please go to [Projects](projects/README.md) for a up-to-date list of projects released by RAM.


<!---
## Data
The data needed to run our code is hosted on HuggingFace:
- https://huggingface.co/OpenAssistant
- https://huggingface.co/datasets/tatsu-lab/alpaca_eval

## Model
The library needed to run our code is
- [Llama from HuggignFace] (https://huggingface.co/docs/transformers/main/model_doc/llama?fbclid=IwAR2ZRhVnuKqngWTBjhOhuDgQLQ5yzTh573uAA_16bEMX3lerKSHCtdla31w).To run huggingface Llama models, make sure to convert your LLaMA checkpoint and tokenizer into HuggingFace format and store it at <your_path_to_hf_converted_llama_ckpt_and_tokenizer>.
- [Alpaca Eval](https://github.com/tatsu-lab/alpaca_eval) for any inference only Llama experiments.
-->

## Contributing
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests.

## License
This project is licensed under the MIT License - see the `LICENSE` file for details. The license applies to the released data as well.

## Contact
RAM is currently maintained by Olga Golovneva, Ilia Kulikov, Janice Lan, Xian Li, Richard Pang, Sainbayar Sukhbaatar, Tianlu Wang, Jason Weston, Jing Xu, Jane Dwivedi-Yu, Ping Yu, Weizhe Yuan.
For any queries, please reach out to [Jing Xu](https://github.com/jxmsML).