Guide for using SLIME (LLM post-training framework for RL Scaling). Use when working with SLIME for reinforcement learning training of language models, including setup, configuration, training execution, multi-turn interactions, custom reward models, tool calling scenarios, or troubleshooting SLIME workflows. Covers GRPO, GSPO, PPO, Reinforce++, multi-agent RL, VLM training, FSDP/Megatron backends, SGLang integration, dynamic sampling, and custom generation functions.
How to install slime-user?
yzlnew/infra-skills/slime-user
$npx -y skills add yzlnew/infra-skills --skill slime-userInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/yzlnew/infra-skills" --skill "yzlnew/infra-skills/slime-user"` 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/yzlnew/infra-skills" that are relevant to the current task. Run `npx skills add "https://github.com/yzlnew/infra-skills"` and select the relevant skills, then follow their instructions.
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