slime-rl-training SKILL.md skillA
slime-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/slime-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/slime/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0.0, committed Jan 29, 2026
- First version recorded
- Jan 28, 2026
- Size
- 11,600 bytes
- Repository stars
- 13,718
- License
- MIT
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.
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
# slime: LLM Post-Training Framework for RL Scaling slime is an LLM post-training framework from Tsinghua's THUDM team, powering GLM-4.5, GLM-4.6, and GLM-4.7. It connects Megatron-LM for training with SGLang for high-throughput rollout generation. ## When to Use slime **Choose slime when you need:** - Megatron-LM native training with SGLang inference - Custom data generation workflows with flexible data buffers - Training GLM, Qwen3, DeepSeek V3, or Llama 3 models - Research-grade framework with production backing (Z.ai) **Consider alternatives when:** - You need enterprise-grade stability features → use **miles** - You want flexible backend swapping → use **verl** - You need PyTorch-native abstractions → use **torchforge** ## Key Features - **Training**: Megatron-LM with full parallelism support (TP, PP, DP, SP) - **Rollout**: SGLang-based high-throughput generation with router - **Data Buffer**: Flexible prompt management and sample storage - **Models**: GLM-4.x, Qwen3, DeepSeek V3/R1, Llama 3 ## Architecture Overview ``` ┌─────────────────────────────────────────────────────────┐ │ Data Buffer │ …
Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/slime-rl-training@sha256:117c8fd2d57d878eThe 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_ngzwmpk55g44xm5a)
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 | 11,600 B | A | view · diff |
| v1.0.0 | 2026-01-28 | 2756a55 | 11,599 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 (11600 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_ngzwmpk55g44xm5a GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/slime-rl-training GET https://markdownregistry.com/api/v1/blob/117c8fd2d57d878e45c698f9f0485326ed4630aeaec761aa1222d7a36458cc07
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.