Instructions to use hpcai-tech/grok-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hpcai-tech/grok-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="hpcai-tech/grok-1", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("hpcai-tech/grok-1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use hpcai-tech/grok-1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "hpcai-tech/grok-1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hpcai-tech/grok-1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/hpcai-tech/grok-1
- SGLang
How to use hpcai-tech/grok-1 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "hpcai-tech/grok-1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hpcai-tech/grok-1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "hpcai-tech/grok-1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hpcai-tech/grok-1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use hpcai-tech/grok-1 with Docker Model Runner:
docker model run hf.co/hpcai-tech/grok-1
Download pytorch_model-00020.bin from hpcai-tech/grok-1: direct link, hf CLI and curl.
- Browser
- Download file 9.84 GB
-
https://huggingface.co/hpcai-tech/grok-1/resolve/main/pytorch_model-00020.bin
- Command line
-
hf download hf://hpcai-tech/grok-1/pytorch_model-00020.bin
-
curl -L -o pytorch_model-00020.bin https://huggingface.co/hpcai-tech/grok-1/resolve/main/pytorch_model-00020.bin
9.84 GB
- Xet hash:
- a7d073374b947b7713a8b11411342e5e01f48177a4a10b28de1fbe66b9f7908a
- Size of remote file:
- 9.84 GB
- SHA256:
- bb8e160a2277666132649c41c0c5146289564dc0c3fdd1a51385cd0112368509
·
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