huggingface-llm-trainer
huggingface2k installs
Fine-tune models on Hugging Face cloud GPUs.
What it does
Trains or fine-tunes language and vision models on cloud GPUs, with Hub persistence and GGUF conversion guidance.
When to use it
Use for cloud model training, TRL fine-tuning, GGUF conversion, or saving trained models to the Hub.
How to use it
Give it a model-training request; it submits a background job that saves the model to the Hub and returns monitoring details.
Uses
TR
Good to know
- cannot be undone: hf_jobs; dataset_inspector.py
- acts without asking
Latest review
What you need · 2
Requires an authenticated Hugging Face account with a Pro, Team, or Enterprise plan for Jobs.
The primary workflow requires Hugging Face MCP tools, including hf_jobs for submitting inline training scripts.
Access · 7
This skill
hf_jobs
Execute
Starts paid cloud training jobs (irreversible)
dataset_inspector.py
Execute
A remote dataset validator (irreversible)