grok-1

Grok open release

项目简介

xai-org/grok-1 是一个基于 GitHub 的开源项目，目前拥有 51,676 颗 Star。该项目的主要语言为 Python。

功能特点

详情请查阅项目的 README 文档。

快速开始

安装

git clone https://github.com/xai-org/grok-1.git
cd grok-1

基本使用

请参考项目 README 获取详细使用方法。

README 原文

# Grok-1

This repository contains JAX example code for loading and running the Grok-1 open-weights model.

Make sure to download the checkpoint and place the `ckpt-0` directory in `checkpoints` - see [Downloading the weights](#downloading-the-weights)

Then, run

```shell
pip install -r requirements.txt
python run.py

to test the code.

The script loads the checkpoint and samples from the model on a test input.

Due to the large size of the model (314B parameters), a machine with enough GPU memory is required to test the model with the example code.
The implementation of the MoE layer in this repository is not efficient. The implementation was chosen to avoid the need for custom kernels to validate the correctness of the model.

Model Specifications

Grok-1 is currently designed with the following specifications:

• Parameters: 314B
• Architecture: Mixture of 8 Experts (MoE)
• Experts Utilization: 2 experts used per token
• Layers: 64
• Attention Heads: 48 for queries, 8 for keys/values
• Embedding Size: 6,144
• Tokenization: SentencePiece tokenizer with 131,072 tokens
• Additional Features:
• Rotary embeddings (RoPE)
• Supports activation sharding and 8-bit quantization
• Maximum Sequence Length (context): 8,192 tokens

Downloading the weights

You can download the weights using a torrent client and this magnet link:

magnet:?xt=urn:btih:5f96d43576e3d386c9ba65b883210a393b68210e&tr=https%3A%2F%2Facademictorrents.com%2Fannounce.php&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce

or directly using HuggingFace 🤗 Hub:

git clone https://github.com/xai-org/grok-1.git && cd grok-1
pip install huggingface_hub[hf_transfer]
huggingface-cli download xai-org/grok-1 --repo-type model --include ckpt-0/* --local-dir checkpoints --local-dir-use-symlinks False

License

The code and associated Grok-1 weights in this release are licensed under the
Apache 2.0 license. The license only applies to the source files in this
repository and the model weights of Grok-1.

```

项目信息

参考链接

• GitHub 仓库