Every premium and members-only resource for $9.99/month, as a no-commitment subscription. See the plans

PalateKit

Menu

Request a resource

Describe the resource you are missing in one sentence. We will email you when it is published.

0 / 280

Unlock PalateKit

Unlock everything

Plan

Paying means accepting our terms of sale.

Secure payment by Stripe. Receipts and invoices sent by email.

Welcome back

Sign in to install, download or save this resource. A free account is enough for free resources.

RL post-training of LLMs with verl v1.0.0

Use this resource to train an LLM with reinforcement learning using verl

New

  • 549 downloads
  • 218 likes
  • 173 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install verl-grpo-rl-training

With 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 login

The agent prepares the dataset, picks the algorithm and backend, then writes the GRPO or PPO training configuration. You get a reproducible training setup and a checklist of prerequisites.

Mostly picked by

Updated November 2, 2026

Card for the “RL post-training of LLMs with verl” skill

Details

Generates with
Your agent's model
Licence
MIT

Similar resources

View all

What you get

  • SKILL.md: installation, architecture and GRPO quick start
  • references/api-reference.md: API reference
  • references/troubleshooting.md: common errors

Good fit for

  • You want to train a math-reasoning model with GRPO
  • You need to scale RL training across several GPUs

Not for

    Tags

    • verl
    • rlhf
    • grpo
    • reinforcement

    About

    You say

    “Prepare a GRPO run with verl on my math problem set, with the prerequisites checklist.”

    Card for the “RL post-training of LLMs with verl” skill

    Skill published by davila7 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to train an LLM with reinforcement learning using verl
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/api-reference.md7.1 KB
    • references/troubleshooting.md7 KB
    • SKILL.md10.5 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/ai-research/post-training-verl
    Licence
    MIT

    Notice

    « post-training-verl » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

    User reviews

    –

    No ratings yet

    Loading reviews…

    Delete your review?

    Your rating and comment will be removed from the page.