mirror of
https://github.com/xai-org/grok-1.git
synced 2024-11-26 21:49:53 +03:00
Update readme with new instructions
This commit is contained in:
parent
e50578b5f5
commit
073f74eaf6
46
README.md
46
README.md
@ -2,28 +2,42 @@
|
||||
|
||||
This repository contains JAX example code for loading and running the Grok-1 open-weights model.
|
||||
|
||||
Make sure to download the checkpoint and place `ckpt-0` directory in `checkpoint`.
|
||||
Then, run
|
||||
Make sure to download the checkpoint and place `ckpt-0` directory in `checkpoints` before run the project.
|
||||
|
||||
```shell
|
||||
pip install -r requirements.txt
|
||||
python run.py
|
||||
```
|
||||
## 1. Downloading the weights
|
||||
|
||||
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.
|
||||
|
||||
# Downloading the weights
|
||||
|
||||
You can download the weights using a torrent client and this magnet link:
|
||||
You can download the weights using a torrent client in the following 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
|
||||
```
|
||||
|
||||
## 2. Installation
|
||||
|
||||
1. Install the project dependencies
|
||||
|
||||
```bash
|
||||
pip install -r requirements.txt
|
||||
```
|
||||
|
||||
2. Run the project
|
||||
|
||||
```bash
|
||||
python run.py
|
||||
```
|
||||
|
||||
The script loads the checkpoint and samples from the model on a test input.
|
||||
|
||||
Due to the large size of the model (314B/Billion 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.
|
||||
|
||||
## 3. Requirements
|
||||
|
||||
Make sure to attend the following requirements before run the project:
|
||||
|
||||
- Needs either either a TPU or GPU (NVIDIA/AMD supported only)
|
||||
- They have to be 8 devices (in the context of TPUs (Tensor Processing Units) or GPUs (Graphics Processing Units), they are typically talking about having access to a total of 8 individual processing units)
|
||||
|
||||
# License
|
||||
|
||||
The code and associated Grok-1 weights in this release are licensed under the
|
||||
|
Loading…
Reference in New Issue
Block a user