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Language model trainer
Name your model and data. Get a fine-tuning run set up with TRL, using the right method for your goal.
Language model trainer is a free AI skill for the job "Build and ship software". Give the instructions to an AI assistant that supports the required files and tools, then review its output.
Free · No account · CC BY 4.0 licence · Made by sickn33 · Level: expert · Thinking: high
Made by sickn33. See the original on GitHub; we copied it as it is, with its licence.
What it does
A fine-tuning run for your language model, set up with the method that matches what you want. Tell it your base model, your data and your goal. The skill picks from TRL's training types: supervised fine-tuning for following instructions, DPO for learning from preferred versus rejected answers, GRPO and RLOO for reward-based training, and reward model training. It writes the trl command with learning rate, epochs, packing and dataset settings, and explains why each is set that way. It is built on Hugging Face Transformers and Accelerate. You need Python, the TRL package and a GPU, and larger models need more memory.
You give it
- The base model
- Your dataset or its Hugging Face name
- What the model should do better
- Your GPU and memory limits
You get
- The right training method for your goal
- A ready trl command
- Settings with a short reason for each
- Next steps to check results
Use it when
- You want a small model to follow your company's instruction style.
- You have pairs of good and bad answers and want to train on the preference.
- You are unsure whether to use SFT, DPO or GRPO.
- You need a training command you can run on your own machine.
How to use it
- Add it to your AI once: download it and add the folder to Claude, ChatGPT or Codex as a skill.
- Ask for the job in your own words. Your AI opens the skill when it fits.
- It works best when your AI can run code.