Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
How to install torchtitan?
mustafakemal0146/fetih/torchtitan
$npx -y skills add mustafakemal0146/fetih --skill torchtitanInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/mustafakemal0146/fetih" --skill "mustafakemal0146/fetih/torchtitan"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mustafakemal0146/fetih" that are relevant to the current task. Run `npx skills add "https://github.com/mustafakemal0146/fetih"` and select the relevant skills, then follow their instructions.
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