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Nov 19, 2025
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Update markdown formatting and links in blog post #251

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6 changes: 3 additions & 3 deletions blog/2025-11-19-miles.md
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Expand Up @@ -5,13 +5,13 @@ date: "November 19, 2025"
previewImg: /images/blog/miles/miles.jpg
---

> A journey of a thousand miles begins with a single step.
> *A journey of a thousand miles begins with a single step.*

We're excited to introduce Miles, an enterprise-facing reinforcement learning framework designed for large-scale MoE training and production workloads. This introductory chapter will be the beginning of a series of tech blogs.

Miles is forked from slime, the lightweight RL framework that has quietly powered many of today’s post-training pipelines and large MoE training runs. Building on slime’s foundation, Miles aims to deliver a smooth and controllable RL experience for teams that need reliability and scale in real-world deployments.

The GitHub link for Miles can be found here: https://github.com/radixark/miles
The GitHub link for Miles can be found [here](https://github.com/radixark/miles).

## 🧠 Starting Point: slime - A Lightweight and Customizable RL Framework

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### Miscellaneous Updates

Enhance the FSDP training backend; allow deploying the rollout subsystem independently outside the framework; debug utilities such as more metrics, post-hoc analyzers, and enhancing profilers; gradually refactor the code to further enhance it; A formal mathematics (Lean) example is provided with SFT/RL scripts.
Enhance the FSDP training backend; allow deploying the rollout subsystem independently outside the framework; debug utilities such as more metrics, post-hoc analyzers, and enhancing profilers; gradually refactor the code to further enhance it; A formal mathematics (Lean) example is provided with [SFT/RL scripts](https://github.com/radixark/miles/tree/main/examples/formal_math/single_round).

## 🚧 Towards the Future: Our Roadmap

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