verl-rl-training SKILL.md skillA
verl-rl-training from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add orchestra-research/ai-research-skills/verl-rl-training@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- orchestra-research/ai-research-skills
- Path
06-post-training/verl/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0.0, committed Jan 29, 2026
- First version recorded
- Jan 28, 2026
- Size
- 10,323 bytes
- Repository stars
- 13,718
- License
- MIT
Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL). Use when implementing RLHF, GRPO, PPO, or other RL algorithms for LLM post-training at scale with flexible infrastructure backends.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# verl: Volcano Engine Reinforcement Learning for LLMs verl is a flexible, efficient, and production-ready RL training library for large language models from ByteDance's Seed team. It implements the HybridFlow framework (EuroSys 2025) and powers models like Doubao-1.5-pro achieving O1-level performance on math benchmarks. ## When to Use verl **Choose verl when you need:** - Production-ready RL training at scale (tested up to 671B parameters) - Flexibility to swap backends (FSDP ↔ Megatron-LM ↔ vLLM ↔ SGLang) - Support for multiple RL algorithms (PPO, GRPO, RLOO, REINFORCE++, DAPO) - Multi-turn rollout with tool calling for agentic workflows - Vision-language model RL training **Consider alternatives when:** - You need Megatron-native training → use **slime** or **miles** - You want PyTorch-native abstractions with Monarch → use **torchforge** - You only need simple SFT/DPO → use **TRL** or **Axolotl** ## Key Features - **Training backends**: FSDP, FSDP2, Megatron-LM - **Rollout engines**: vLLM, SGLang, HuggingFace Transformers - **Algorithms**: PPO, GRPO, DAPO, RLOO, ReMax, REINFORCE++, SPIN, SPPO - **Models**: Qwen-3, Llama-3.1, DeepSeek, Gemma-2 (0.5B to 671B) …
Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/verl-rl-training@sha256:1167e2b2994c9b07The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_uypg6lldy4rxqhg7)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jan 28, 2026 and Jan 29, 2026, more than one a day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-01-29 | 6f8bdc0 | 10,323 B | A | view · diff |
| v1.0.0 | 2026-01-28 | 2756a55 | 10,322 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10323 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_uypg6lldy4rxqhg7 GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/verl-rl-training GET https://markdownregistry.com/api/v1/blob/1167e2b2994c9b0780edc44d5bc3a3eef69dc816af08af8f28ef9c19163d1285
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.