HF RL Explorer

Evaluates the ability to implement pipeline parallel training for LLaMA using PyTorch distributed primitives…

Evaluates the ability to implement pipeline parallel training for LLaMA using PyTorch distributed primitives…: a task in Terminal-Bench 2.1 (Harbor git-repos dataset) (Harbor dataset). Implement pipeline parallel training for the LLaMA model using PyTorch. Create the file /app/pipeline parallel.py…

The task

Implement pipeline parallel training for the LLaMA model using PyTorch. Create the file /app/pipeline_parallel.py and implement the following function according to the given signature:

Part of qingyu-lyq/terminal-bench-2.1.