Fine-tune a model with GRPO on Fireworks-managed GPUs from a plain-English task description and a dataset. Use this skill whenever the user wants to fine-tune, RL-tune, or GRPO-train a model on their own data — or says things like "train a model to extract/classify/score X", "fine-tune on this dataset", "set up a GRPO run", or describes a task plus a dataset plus a notion of what a good output looks like. Trigger even when the user does not name GRPO or Fireworks explicitly.
How to install grpo-finetune?
patchy631/ai-engineering-hub/grpo-finetune
$npx -y skills add patchy631/ai-engineering-hub --skill grpo-finetuneInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/patchy631/ai-engineering-hub" --skill "patchy631/ai-engineering-hub/grpo-finetune"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/patchy631/ai-engineering-hub" that are relevant to the current task. Run `npx skills add "https://github.com/patchy631/ai-engineering-hub"` and select the relevant skills, then follow their instructions.
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