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Commits, branches and sync with the but CLI
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Use this resource to experiment with reinforcement learning algorithms separated from infrastructure
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In a terminal, from the folder you want:
npx --yes palatekit@latest install torchforge-pytorch-rl-libraryWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent guides you through installing torchforge, checking the environment, then launching SFT training on two GPUs or GRPO on three GPUs. You get a setup where the algorithm is separated from infrastructure, with a ROCm installation guide.
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Updated November 2, 2026
You say
“Run a GRPO training with torchforge on three GPUs to compare two algorithm variants.”

Skill published by Orchestra Research under the MIT license, delivered in its original version.
Listed unmodified
« torchforge-rl-training » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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