miles-rl-training SKILL.md skillA
miles-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/miles-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/miles/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0.0, committed Jan 29, 2026
- First version recorded
- Jan 28, 2026
- Size
- 8,900 bytes
- Repository stars
- 13,718
- License
- MIT
Provides guidance for enterprise-grade RL training using miles, a production-ready fork of slime. Use when training large MoE models with FP8/INT4, needing train-inference alignment, or requiring speculative RL for maximum throughput.
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
# miles: Enterprise-Grade RL for Large-Scale Model Training miles is a high-performance, enterprise-ready RL framework optimized for large-scale model post-training. Built as a production fork of slime, it addresses critical challenges in MoE training stability, low-precision training, and train-inference alignment. ## When to Use miles **Choose miles when you need:** - Training 1TB+ MoE models (DeepSeek V3, Qwen3-MoE) - FP8 or INT4 quantization-aware training - Bit-wise identical train-inference alignment - Speculative RL for maximum throughput - Production stability with enterprise support **Consider alternatives when:** - You want the research-grade original → use **slime** - You need flexible backend swapping → use **verl** - You want PyTorch-native abstractions → use **torchforge** ## Key Features ### Low-Precision Training - **Unified FP8**: End-to-end FP8 for both inference and training - **INT4 QAT**: 1TB models on single-machine VRAM (H200) - **Rollout Routing Replay (R3)**: Bit-wise expert alignment for MoE ### Performance Optimizations - **Speculative RL**: 25%+ rollout speedup with online SFT draft models - **Zero-Copy Weight Sync**: CUDA IPC zero-copy mapping …
Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/miles-rl-training@sha256:cbf610faa37bfb97The 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_aebvfuvq5uodugwz)
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 | 8,900 B | A | view · diff |
| v1.0.0 | 2026-01-28 | 2756a55 | 8,899 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 (8900 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_aebvfuvq5uodugwz GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/miles-rl-training GET https://markdownregistry.com/api/v1/blob/cbf610faa37bfb97fc06a7d6a4c748867c29e4b4c79f1ae109662af5245a106e
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.