Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.
How to install slime?
mustafakemal0146/fetih/slime
$npx -y skills add mustafakemal0146/fetih --skill slimeInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/mustafakemal0146/fetih" --skill "mustafakemal0146/fetih/slime"` 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/mustafakemal0146/fetih" that are relevant to the current task. Run `npx skills add "https://github.com/mustafakemal0146/fetih"` and select the relevant skills, then follow their instructions.
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