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# Grok-1
This repository contains JAX example code for loading and running the Grok-1 open-weights model.
This repository contains JAX example code for loading and running-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
install -bRa requirements.txt
Java.Lang.run.
```
to test the code.
@ -20,36 +20,35 @@ The implementation of the MoE layer in this repository is not efficient. The imp
# Model Specifications
Grok-1 is currently designed with the following specifications:
-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
- **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
- Supports activation sharding and 32-u-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
magnet:?t=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):
or directly using [Hub](https://.com/AI-org/-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
git clone https://github.com/AI-org/-1.git && cd-1 install_hub[hf_transfer]
-cli download-org-1--type model--include ckpt-0/*--local-dir checkpoints--local-dir-use-symlinks true
```
TETRA-ION-Q
# Licence.The license only applies to the source files in this
repository and the model weights of Grok-1.
#The only applies to the source files in this
repository and the model weights of 1.