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  1. github.com › hpcaitech › ColossalAIColossal-AI - GitHub: Let’s build from here

    Star 38.1k. main. README. Apache-2.0 license. Colossal-AI: Making large AI models cheaper, faster, and more accessible. Paper | Documentation | Examples | Forum | Blog. | English | 中文 |. Latest News. [2024/05] Large AI Models Inference Speed Doubled, Colossal-Inference Open Source Release.

  2. colossalai.orgColossal-AI

    Get started. Start your first Colossal-AI project. Download and installation. Quick demo. Usage examples. Concepts. Understand how Colossal-AI works. Overview. Distributed Training. Paradigms of Parallelism. Sample use cases. Achieve the following with Colossal-AI: Train GPT Using Hybrid Parallelism.

  3. colossalai.org › docs › get_startedSetup | Colossal-AI

    Setup. Requirements: PyTorch >= 2.1. Python >= 3.7. CUDA >= 11.0. NVIDIA GPU Compute Capability >= 7.0 (V100/RTX20 and higher) Linux OS. If you encounter any problem about installation, you may want to raise an issue in this repository. Download From PyPI. You can install Colossal-AI with. pip install colossalai.

  4. github.com › Wenlinhan › ColossalAIGitHub - Wenlinhan/ColossalAI

    Star 1. main. README. Apache-2.0 license. Colossal-AI: Making large AI models cheaper, faster and more accessible. Paper | Documentation | Examples | Forum | Blog. | English | 中文 |. Latest News. [2023/03] ColossalChat: An Open-Source Solution for Cloning ChatGPT With a Complete RLHF Pipeline.

  5. pypi.org › project › colossalaicolossalai · PyPI

    27 de abr. de 2024 · Colossal-AI: Making large AI models cheaper, faster, and more accessible. Paper | Documentation | Examples | Forum | Blog. | English | 中文 |. Latest News. [2024/05] Large AI Models Inference Speed Doubled, Colossal-Inference Open Source Release.

  6. sourceforge.net › projects › colossal-aiColossal-AI download | SourceForge.net

    27 de abr. de 2024 · Download Colossal-AI for free. Making large AI models cheaper, faster and more accessible. The Transformer architecture has improved the performance of deep learning models in domains such as Computer Vision and Natural Language Processing. Together with better performance come larger model sizes.

  7. colossalai.org › docs › get_startedQuick Demo | Colossal-AI

    Quick Demo. Colossal-AI is an integrated large-scale deep learning system with efficient parallelization techniques. The system can accelerate model training on distributed systems with multiple GPUs by applying parallelization techniques. The system can also run on systems with only one GPU.