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torchforge

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<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT -->
---
name: torchforge
description: TorchForge post-training toolkit for PyTorch models. Use when applying custom post-training optimizations or reward-based fine-tuning.
tags: [torchforge, post-training, rl]
---

# torchforge: PyTorch-Native Agentic RL Library

torchforge is Meta's PyTorch-native RL library that separates infrastructure concerns from algorithm concerns. It enables rapid RL research by letting you focus on algorithms while handling distributed training, inference, and weight sync automatically.

## When to Use torchforge

**Choose torchforge when you need:**
- Clean separation between RL algorithms and infrastructure
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