Open Instruct for reproducing post-training experiments
Study published instruction tuning and alignment recipes with code and data references.
AI GitHub
Explore AI projects, understand what they do and find something you can build with.
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verl for experimenting with distributed LLM reinforcement learning
Run training workflows that coordinate rollout, scoring and policy updates.
OpenRLHF for distributed preference and RL training
Coordinate model training, rollout generation and related workloads across accelerators.
PEFT for training and loading model adapters
Adapt a supported model by training a subset of parameters and saving compact artifacts.
TRL for supervised and preference-based training
Train transformer models with documented fine-tuning and preference-learning trainers.
torchtune for explicit PyTorch training recipes
Adapt language-model tuning recipes built around PyTorch and configurable components.
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