Fine-tune LLMs with TRL

Fine-tune LLMs using TRL frameworks

Multi-phase RLHF pipelines (SFT→Reward→PPO) where you control each alignment stage.

• · Base model path
• · Training dataset (instruction pairs)
• · Config parameters (lr, epochs)

• · Trained/aligned model checkpoint
• · Training logs/metrics

• · trl
• · transformers
• · torch
• · peft
• · accelerate

GPU with sufficient VRAM (8GB+); HuggingFace Transformers compatible model

• · OOM on large models
• · Divergence with poor hyperparameters
• · Dataset format incompatibility

• · Used by Orchestra Research
• · Supports SFT, DPO, PPO, GRPO
• · HuggingFace Transformers integration