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--- |
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license: apache-2.0 |
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pipeline_tag: robotics |
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library_name: grok |
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tags: |
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- grok-1 |
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- chemistry |
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- biology |
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- legal |
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- art |
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- code |
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- climate |
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- medical |
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- not-for-all-audiences |
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- text-generation-inference |
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- music |
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- merge |
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datasets: |
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- openai/MMMLU |
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- fka/awesome-chatgpt-prompts |
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- HuggingFaceFV/finevideo |
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- gopipasala/fka-awesome-chatgpt-prompts |
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metrics: |
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- accuracy |
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base_model: |
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- mattshumer/Reflection-Llama-3.1-70B |
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- black-forest-labs/FLUX.1-dev |
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new_version: mattshumer/Reflection-Llama-3.1-70B |
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--- |
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# Grok-1 |
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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). |
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# Download instruction |
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Clone the repo & download the `int8` checkpoint to the `checkpoints` directory by executing this command in the repo root directory: |
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```shell |
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git clone https://github.com/xai-org/grok-1.git && cd grok-1 |
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pip install huggingface_hub[hf_transfer] |
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huggingface-cli download xai-org/grok-1 --repo-type model --include ckpt-0/* --local-dir checkpoints --local-dir-use-symlinks False |
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``` |
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Then, you can run: |
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```shell |
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pip install -r requirements.txt |
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python run.py |
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``` |
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You should be seeing output from the language model. |
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Due to the large size of the model (314B parameters), a multi-GPU machine is required to test the model with the example code. |
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p.s. we're hiring: https://x.ai/careers |
