mirror of https://github.com/hpcaitech/ColossalAI
[doc] add GPU cloud playground (#5851)
* [doc] add GPU cloud playground * [doc] add GPU cloud playground * [doc] add GPU cloud playground * [doc] add GPU cloud playground * [doc] add GPU cloud playground * [doc] add GPU cloud playground * [doc] add GPU cloud playground * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>pull/5852/head
binmakeswell
GitHub
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README.md
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README.md
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<a href="https://www.colossalai.org/"> Documentation </a> |
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<a href="https://github.com/hpcaitech/ColossalAI/tree/main/examples"> Examples </a> |
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<a href="https://github.com/hpcaitech/ColossalAI/discussions"> Forum </a> |
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<a href="https://cloud.luchentech.com/">GPU Cloud Playground </a> |
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<a href="https://hpc-ai.com/blog"> Blog </a></h3>
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[](https://github.com/hpcaitech/ColossalAI/stargazers)
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@ -132,6 +133,8 @@ distributed training and inference in a few lines.
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[[blog]](https://hpc-ai.com/blog/open-sora-from-hpc-ai-tech-team-continues-open-source-generate-any-16-second-720p-hd-video-with-one-click-model-weights-ready-to-use)
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[[Model weights]](https://github.com/hpcaitech/Open-Sora?tab=readme-ov-file#model-weights)
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[[Demo]](https://github.com/hpcaitech/Open-Sora?tab=readme-ov-file#-latest-demo)
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[[GPU Cloud Playground]](https://cloud.luchentech.com/)
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[[OpenSora Image]](https://cloud.luchentech.com/doc/docs/image/open-sora/)
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<div align="center">
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<a href="https://youtu.be/ilMQpU71ddI?si=J4JSPzZ03ycYmlki">
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@ -143,6 +146,9 @@ distributed training and inference in a few lines.
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### Colossal-LLaMA-2
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[[GPU Cloud Playground]](https://cloud.luchentech.com/)
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[[LLaMA3 Image]](https://cloud.luchentech.com/doc/docs/image/llama)
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- 7B: One half-day of training using a few hundred dollars yields similar results to mainstream large models, open-source and commercial-free domain-specific LLM solution.
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[[code]](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Colossal-LLaMA-2)
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[[blog]](https://www.hpc-ai.tech/blog/one-half-day-of-training-using-a-few-hundred-dollars-yields-similar-results-to-mainstream-large-models-open-source-and-commercial-free-domain-specific-llm-solution)
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@ -275,6 +281,8 @@ Acceleration of [AlphaFold Protein Structure](https://alphafold.ebi.ac.uk/)
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- 70 billion parameter LLaMA3 model training accelerated by 18%
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[[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/language/llama)
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[[GPU Cloud Playground]](https://cloud.luchentech.com/)
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[[LLaMA3 Image]](https://cloud.luchentech.com/doc/docs/image/llama)
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### LLaMA2
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<p align="center">
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@ -385,6 +393,8 @@ Please visit our [documentation](https://www.colossalai.org/) and [examples](htt
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- Large AI models inference speed doubled, compared to the offline inference performance of vLLM in some cases.
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[[code]](https://github.com/hpcaitech/ColossalAI/tree/main/colossalai/inference)
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[[blog]](https://hpc-ai.com/blog/colossal-inference)
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[[GPU Cloud Playground]](https://cloud.luchentech.com/)
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[[LLaMA3 Image]](https://cloud.luchentech.com/doc/docs/image/llama)
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### Grok-1
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<p id="Grok-1" align="center">
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<h1>
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Colossal-LLaMA
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</h1>
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<h3>
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<a href="https://cloud.luchentech.com/">GPU Cloud Playground </a> </a> |
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<a href="https://cloud.luchentech.com/doc/docs/image/llama"> LLaMA3 Image </a>
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</h3>
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</div>
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## Table of Contents
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<h1>
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<img src="https://github.com/hpcaitech/public_assets/blob/main/applications/colossal-llama-2/colossaleval.jpg?raw=true" width=800/>
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</h1>
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<h3>
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<a href="https://cloud.luchentech.com/">GPU Cloud Playground </a> </a> |
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<a href="https://cloud.luchentech.com/doc/docs/image/colossal-eval"> Colossal-Eval Image </a>
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</h3>
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</div>
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## Table of Contents
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This directory contains the applications that are powered by Colossal-AI.
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<div align="center">
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<h3>
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<a href="https://cloud.luchentech.com/">GPU Cloud Playground </a> </a> |
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<a href="https://cloud.luchentech.com/doc/docs/intro"> Playground Document </a>
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</h3>
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</div>
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The list of applications include:
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- [X] [Open-Sora](https://github.com/hpcaitech/Open-Sora): Revealing Complete Model Parameters, Training Details, and Everything for Sora-like Video Generation Models
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<a href="https://www.colossalai.org/"> 文档 </a> |
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<a href="https://github.com/hpcaitech/ColossalAI/tree/main/examples"> 例程 </a> |
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<a href="https://github.com/hpcaitech/ColossalAI/discussions"> 论坛 </a> |
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<a href="https://cloud.luchentech.com/">潞晨云 </a> |
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<a href="https://hpc-ai.com/blog"> 博客 </a></h3>
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[](https://github.com/hpcaitech/ColossalAI/stargazers)
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@ -127,6 +128,8 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
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[[博客]](https://hpc-ai.com/blog/open-sora-from-hpc-ai-tech-team-continues-open-source-generate-any-16-second-720p-hd-video-with-one-click-model-weights-ready-to-use)
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[[模型权重]](https://github.com/hpcaitech/Open-Sora?tab=readme-ov-file#model-weights)
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[[演示样例]](https://github.com/hpcaitech/Open-Sora?tab=readme-ov-file#-latest-demo)
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[[潞晨云]](https://cloud.luchentech.com/)
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[[OpenSora镜像]](https://cloud.luchentech.com/doc/docs/image/open-sora/)
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<div align="center">
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<a href="https://www.bilibili.com/video/BV1Fm421G7bV">
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@ -135,6 +138,8 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
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</div>
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### Colossal-LLaMA-2
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[[潞晨云]](https://cloud.luchentech.com/)
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[[LLaMA3 镜像]](https://cloud.luchentech.com/doc/docs/image/llama)
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- 7B：千元预算半天训练，效果媲美主流大模型，开源可商用中文LLaMA-2
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[[代码]](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Colossal-LLaMA-2)
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@ -265,7 +270,9 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
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</p>
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- 700亿参数LLaMA3训练加速18%
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[[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/language/llama)
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[[代码]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/language/llama)
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[[潞晨云]](https://cloud.luchentech.com/)
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[[LLaMA3 镜像]](https://cloud.luchentech.com/doc/docs/image/llama)
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### LLaMA2
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<p align="center">
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@ -378,6 +385,8 @@ Colossal-AI 为您提供了一系列并行组件。我们的目标是让您的
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- AI大模型推理速度部分接近翻倍，与vLLM的离线推理性能相比
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[[代码]](https://github.com/hpcaitech/ColossalAI/tree/main/colossalai/inference)
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[[博客]](https://hpc-ai.com/blog/colossal-inference)
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[[潞晨云]](https://cloud.luchentech.com/)
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[[LLaMA3 镜像]](https://cloud.luchentech.com/doc/docs/image/llama)
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### Grok-1
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<p id="Grok-1" align="center">
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# Colossal-AI Examples
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<div align="center">
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<h3>
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<a href="https://cloud.luchentech.com/">GPU Cloud Playground </a> </a> |
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<a href="https://cloud.luchentech.com/doc/docs/intro"> Playground Document </a>
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</h3>
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</div>
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## Table of Contents
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