Grok Bot template · Cloud and DevOps
Model Architecture Torchtitan
Pretrains large language models at scale using PyTorch-native torchtitan with 4D parallelism.
What it can do
The skills built into this template. Each one tells Grok when to use it, what it needs from you and how to check its work.
- Configure and launch single-node training
- Configure multi-node training with SLURM
- Enable Float8 training with torch.compile
- Set up 4D parallelism for large models (70B+)
- Resume training from checkpoint
- Troubleshoot common training issues
Apps it works with
Connect these in Grok for the best results. It also works without them: you paste the information in.
HuggingFace tokenGPU cluster (SLURM or direct)
The full template
For members
The complete Model Architecture Torchtitan template: its identity, every skill step by step, its limits and its first-run questions, ready to paste into a new Grok Bot. Members get it, and every other template here.
Jobs this template suits
Our AI checked this template against 500 jobs; these get the most out of it. Each job links to its learning path.