Grok-1 is a large-scale language model released by xAI, featuring 314 billion parameters and made available under the Apache 2.0 license. It is designed for text generation and was trained for advanced language understanding and reasoning capabilities. Grok-1 is currently distributed as open weights, with inference support requiring multi-GPU hardware due to its size. The model can be downloaded from Hugging Face and run using the accompanying Python code in the official GitHub repository. Though optimized for large-scale deployments, Grok-1 is intended for developers and researchers interested in high-capacity open models. The release aligns with xAI’s mission to promote openness in AI development while maintaining competitive performance in large language model benchmarks. While specific technical details about its architecture or training data remain limited, Grok-1 represents xAI’s entry into the open-weight LLM space.
Features
- 314 billion parameters for advanced language modeling
- Released under the permissive Apache 2.0 license
- Requires multi-GPU setup for inference
- Supports text generation tasks
- Open weights available via Hugging Face and GitHub
- Accompanied by runnable Python code (run.py)
- Developed by xAI (Elon Musk's AI company)
- Positioned as a high-performance open-weight alternative
Project Samples
