AllenAI Open Instruct Tulu 3 Post-Training with SFT, DPO, RLVR, GRPO, and Verifier-Based Evaluation

MarkTechPost · 2 months ago · 44

AllenAI’s tutorial shows how to run an end-to-end post-training pipeline for a compact instruction-tuned language model on the Open Instruct framework, covering SFT, DPO, and GRPO with verifier-based evaluation for math answers. It adapts the original multi-GPU Tulu 3 setup to fit within a 16 GB runtime. As a result, the workflow keeps Open Instruct’s optimization logic while swapping out distributed training pieces (vLLM/Ray/DeepSpeed/async queues) for lightweight Hugging Face and PyTorch code suited to Colab.