Examples# We provide several examples to show how to use our package in your problem. Data preparation# Dataset Dataset Format in General Supported Dataset and Detailed Formats Conversation TextOnly Text2Text Paired Conversation Checkpoints LLaMA Checkpoint Finetuning# For SFT, Finetuning Full Parameters Layerwise Importance Sampled AdamW (LISA) Low-Rank Adaptation (LoRA) For alignment process, Reward Modeling Introduction Step 1 Supervised Finetuning (SFT) Step 2 Reward Modeling Examples RAFT 1 Introduction 1.1 Dataset description 2 Reward Modeling 2.1 Supervised Finetuning (SFT) 2.2 Reward Modeling 2.3 LoRA Merge and Get Reward Model 3 RAFT Alignment 3.1 Algorithms Overview 3.2 Hyper-parameters 3.3 Examples Inference# Refer to examples. Evaluation# LMFlow Benchmark Guide 1. NLL Task Setting Setup Create Your Task Dataset File Task Registration 2. LM-Evaluation Task Setting