# Sphere-AI-Lab/orbit

<https://repo.masters-masters.com/en/repos/Sphere-AI-Lab/orbit>

[Home](https://repo.masters-masters.com/en) › [Sphere-AI-Lab](https://repo.masters-masters.com/en/owners/Sphere-AI-Lab) › [orbit](https://repo.masters-masters.com/en/repos/Sphere-AI-Lab/orbit)

Sphere-AI-Lab/orbit has 157 stars on GitHub. Its RepoMasters card: Prototype tier. Stable and Efficient Reinforcement Learning for Trillion-Parameter LLMs

| Field | Value |
| --- | --- |
| Owner | [Sphere-AI-Lab](https://repo.masters-masters.com/en/owners/Sphere-AI-Lab) |
| Stars | 157 |
| Forks | 10 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2026 |
| Topics | cuda, low-precision, reinforcement-learning, transformers, peft |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Sphere-AI-Lab/orbit](https://github.com/Sphere-AI-Lab/orbit) |

## Repository

Stable and Efficient Reinforcement Learning for Trillion-Parameter LLMs

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.