huggingface/nanotron: Minimalistic large language model 3D-parallelism training ·
github.com · 816 words · saved by 1 readers
Minimalistic large language model 3D-parallelism training
⚡️ Nanotron Installation • Quick Start • Features • Benchmarks • Contributing Pretraining models made easy Nanotron is a library for pretraining transformer models. It provides a simple and flexible API to pretrain models on custom datasets. Nanotron is designed to be easy to use, fast, and scalable. It is built with the following principles in mind: Simplicity : Nanotron is designed to be easy to use. It provides a simple and flexible API to pretrain models on custom datasets. Performance : Optimized for speed and scalability, Nanotron uses the latest techniques to train models faster and mor
saved by
related reading
- The Ultra-Scale Playbook - a Hugging Face Space by nanotronhuggingface.co
- The Ultra-Scale Playbook - a Hugging Face Space by nanotronhuggingface.co
- GitHub - karpathy/nanochat: The best ChatGPT that $100 can buy.github.com
- Together AI | The AI Native Cloudtogether.ai
- GitHub - karpathy/autoresearch: AI agents running research on single-GPU nanochat training automaticallygithub.com
- GitHub - NVIDIA-NeMo/Automodel: 🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face supportgithub.com
- Hugging Face – The AI community building the future.huggingface.co
- Parsed | Custom, interpretable AI systems that continuously learnparsed.com
- GitHub - rasbt/LLMs-from-scratch: Implement a ChatGPT-like LLM in PyTorch from scratch, step by stepgithub.com
- Introducing nanocode: The best Claude Code that $200 can buy. · salmanmohammadi nanocode · Discussion #1github.com
- PostTrainBenchposttrainbench.com
- Tinkerthinkingmachines.ai