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Author SHA1 Message Date
e4c3d3f814 Merge 4a368c2c73 into 7050ed204b 2024-03-19 13:38:18 -03:00
4a368c2c73 Merge branch 'main' into chore/run-on-macos 2024-03-19 13:38:14 -03:00
7050ed204b Corrected name of package "cuda12-pip" (#194)
The `cuda12-pip` package was wrongly named `cuda12_pip`
in requirements.txt
2024-03-19 08:48:22 -07:00
874c2e941c Merge branch 'main' into chore/run-on-macos 2024-03-18 21:41:08 -03:00
7fead60864 fix conflicts in README.md 2024-03-18 21:39:40 -03:00
adacffe69f Update wrong dependency in requirements.txt 2024-03-18 21:30:43 -03:00
073f74eaf6 Update readme with new instructions 2024-03-18 21:29:52 -03:00
d6d9447e2d Update huggingface link 2024-03-18 11:40:01 -07:00
7207216386 Create .gitignore for checkpoints (#149)
ignore the checkpoints files
2024-03-18 11:01:17 -07:00
310e19eee2 Corrected checkpoint dir name, download section link 2024-03-18 09:39:02 -07:00
1ff4435d25 Update README with Model Specifications (#27)
Added an overview of the model as discussed in response to #14. 

Adding more info on the the model specs before they proceed to download
the checkpoints should help folks ensure they have the necessary
resources to effectively utilize Grok-1.
2024-03-18 09:36:24 -07:00
b0e77734fe Make download instruction more clear (#155) 2024-03-18 09:11:17 -07:00
3 changed files with 43 additions and 9 deletions

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checkpoints/*
!checkpoints/README.md

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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 the `ckpt-0` directory in `checkpoints` - see [Downloading the weights](#downloading-the-weights)
```shell
## 1. Installation
1. Install the project dependencies
```bash
pip install -r requirements.txt
```
2. Run the project
```bash
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.
Due to the large size of the model (314 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.
# Downloading the weights
## 2. 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
- **TPU/GPU:** NVIDIA/AMD supported only
## 3. 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](https://huggingface.co/xai-org/grok-1):
```
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

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dm_haiku==0.0.12
jax[cuda12_pip]==0.4.25 -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
dm-haiku==0.0.12
jax[cuda12-pip]==0.4.25 -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
numpy==1.26.4
sentencepiece==0.2.0