| license: apache-2.0 | |
| pipeline_tag: text-generation | |
| library_name: grok-1 | |
| tags: | |
| - biology | |
| # Grok-1 | |
| This repository contains the weights of the Grok-1 open-weights model. You can find the code in the [GitHub Repository](https://github.com/xai-org/grok-1/tree/main). | |
| # Download instruction | |
| Clone the repo & download the `int8` checkpoint to the `checkpoints` directory by executing this command in the repo root directory: | |
| ```shell | |
| 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 | |
| ``` | |
| Then, you can run: | |
| ```shell | |
| pip install -r requirements.txt | |
| python run.py | |
| ``` | |
| You should be seeing output from the language model. | |
| Due to the large size of the model (314B parameters), a multi-GPU machine is required to test the model with the example code. | |
| p.s. we're hiring: https://x.ai/careers |