The Agent Skills Directory

[SAFE]: The skill provides documentation and implementation guides for the TRL (Transformer Reinforcement Learning) library. All code snippets demonstrate standard usage of high-level machine learning training APIs.
[EXTERNAL_DOWNLOADS]: The skill facilitates downloading machine learning models and datasets from the Hugging Face Hub, including repositories like Qwen, trl-lib, and argilla. These are established and well-known entities in the AI research space.
[INDIRECT_PROMPT_INJECTION]: The skill processes external data in the form of training datasets (e.g., in SKILL.md and references/reward-modeling.md). This is consistent with the primary purpose of fine-tuning.
Ingestion points: Datasets are loaded via the datasets.load_dataset() function in several files.
Boundary markers: Not explicitly defined in the provided snippets, as is standard for library usage examples.
Capability inventory: The skill can train models, save model weights to the local filesystem using trainer.save_model(), and execute inference pipelines via the transformers.pipeline API.
Sanitization: Not explicitly implemented in the instructional snippets, relying on the user to validate the source and content of training data.

fine-tuning-with-trl