Grok 2
This repository contains the weights of Grok 2, a model trained and used at xAI in 2024.
Usage: Serving with SGLang
- Download the weights. You can replace - /local/grok-2with any other folder name you prefer.- hf download xai-org/grok-2 --local-dir /local/grok-2- You might encounter some errors during the download. Please retry until the download is successful. 
 If the download succeeds, the folder should contain 42 files and be approximately 500 GB.
- Launch a server. - Install the latest SGLang inference engine (>= v0.5.1) from https://github.com/sgl-project/sglang/ - Use the command below to launch an inference server. This checkpoint is TP=8, so you will need 8 GPUs (each with > 40GB of memory). - python3 -m sglang.launch_server --model /local/grok-2 --tokenizer-path /local/grok-2/tokenizer.tok.json --tp 8 --quantization fp8 --attention-backend triton
- Send a request. - This is a post-trained model, so please use the correct chat template. - python3 -m sglang.test.send_one --prompt "Human: What is your name?<|separator|>\n\nAssistant:"- You should be able to see the model output its name, Grok. - Learn more about other ways to send requests here. 
License
The weights are licensed under the Grok 2 Community License Agreement.
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