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#python

Nemo RL is a powerful and scalable library that helps you efficiently train and fine-tune large AI models, from small ones on a single GPU to huge models with over 100 billion parameters using thousands of GPUs. It integrates easily with Hugging Face models and uses NVIDIA’s Megatron Core for fast, optimized training with advanced parallelism, making it ideal for very large models and long sequences. It supports various reinforcement learning algorithms and fine-tuning methods, offers flexible resource management with Ray, and provides detailed, user-friendly documentation and examples. This means you can train state-of-the-art AI models faster and more reliably, even at massive scale, with less hassle.

https://github.com/NVIDIA-NeMo/RL
GitHub GitHub - NVIDIA-NeMo/RL: Scalable toolkit for efficient model reinforcement Scalable toolkit for efficient model reinforcement - NVIDIA-NeMo/RL
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