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It is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language. There are various sizes of the code model, ranging from 1B to 33B versions. | Try Grok 4 on GPT Proto. Access xAI’s most advanced 1.7T LLM with 130K context, multimodal support, and real-time data integration for dynamic analysis. |
Massive training data;
Highly flexible & scalable;
Superior model performance;
Advanced code completion capabilities | grok-4, grok-4 api, grok ai |
Statistics | |
GitHub Stars 22.3K | GitHub Stars - |
GitHub Forks 2.6K | GitHub Forks - |
Stacks 14 | Stacks 3 |
Followers 7 | Followers 3 |
Votes 0 | Votes 1 |
Integrations | |
| No integrations available | |

It is the base model weights and network architecture of Grok-1, the large language model. Grok-1 is a 314 billion parameter Mixture-of-Experts model trained from scratch by xAI.

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It is Google’s largest and most capable AI model. It is built to be multimodal, it can generalize, understand, operate across, and combine different types of info — like text, images, audio, video, and code.

It is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.

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