distributed-llm-pretraining-torchtitan

SKILLWorkflowcommunauté
v0.0.0Orchestra-ResearchMITMis à jour il y a 2 moisSource →

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.

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Skill
AuteurOrchestra-Research
Version0.0.0
LicenceMIT
CatégorieWorkflow
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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.

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