The Agent Skills Directory

Dynamic Script Execution: The skill generates and executes Python training scripts through the hf_jobs platform tool. This is a core feature for remote GPU training and utilizes standard Hugging Face libraries like TRL, Transformers, and PEFT.
External Repository Reference: The GGUF conversion script (scripts/convert_to_gguf.py) clones and builds the llama.cpp toolkit from its official GitHub repository. This is a well-known and standard dependency for the conversion and quantization process.
Data Ingestion Surface: Several scripts ingest training data from the Hugging Face Hub using the datasets.load_dataset function. This represents a standard ingestion point for external data used during the machine learning training pipeline.
Secure Credential Handling: The instructions and templates demonstrate best practices for credential management by utilizing the platform's secret injection mechanism (secrets={"HF_TOKEN": "$HF_TOKEN"}) to provide authentication for Hub operations without hardcoding sensitive tokens.
Internal Command Execution: The conversion utility uses standard subprocess calls to manage build tools (like cmake and git) and run the conversion binaries. These operations are conducted within the context of the isolated job environment.

huggingface-llm-trainer