diff --git a/README.md b/README.md index 12d29727b..69506e338 100644 --- a/README.md +++ b/README.md @@ -9,6 +9,7 @@ Documentation | Examples | Forum | + GPU Cloud Playground | Blog [![GitHub Repo stars](https://img.shields.io/github/stars/hpcaitech/ColossalAI?style=social)](https://github.com/hpcaitech/ColossalAI/stargazers) @@ -132,6 +133,8 @@ distributed training and inference in a few lines. [[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) [[Model weights]](https://github.com/hpcaitech/Open-Sora?tab=readme-ov-file#model-weights) [[Demo]](https://github.com/hpcaitech/Open-Sora?tab=readme-ov-file#-latest-demo) +[[GPU Cloud Playground]](https://cloud.luchentech.com/) +[[OpenSora Image]](https://cloud.luchentech.com/doc/docs/image/open-sora/)
@@ -143,6 +146,9 @@ distributed training and inference in a few lines. ### Colossal-LLaMA-2 +[[GPU Cloud Playground]](https://cloud.luchentech.com/) +[[LLaMA3 Image]](https://cloud.luchentech.com/doc/docs/image/llama) + - 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. [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Colossal-LLaMA-2) [[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) @@ -275,6 +281,8 @@ Acceleration of [AlphaFold Protein Structure](https://alphafold.ebi.ac.uk/) - 70 billion parameter LLaMA3 model training accelerated by 18% [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/language/llama) +[[GPU Cloud Playground]](https://cloud.luchentech.com/) +[[LLaMA3 Image]](https://cloud.luchentech.com/doc/docs/image/llama) ### LLaMA2

@@ -385,6 +393,8 @@ Please visit our [documentation](https://www.colossalai.org/) and [examples](htt - Large AI models inference speed doubled, compared to the offline inference performance of vLLM in some cases. [[code]](https://github.com/hpcaitech/ColossalAI/tree/main/colossalai/inference) [[blog]](https://hpc-ai.com/blog/colossal-inference) +[[GPU Cloud Playground]](https://cloud.luchentech.com/) +[[LLaMA3 Image]](https://cloud.luchentech.com/doc/docs/image/llama) ### Grok-1

diff --git a/applications/Colossal-LLaMA/README.md b/applications/Colossal-LLaMA/README.md index 93ba58ac5..5997008e8 100644 --- a/applications/Colossal-LLaMA/README.md +++ b/applications/Colossal-LLaMA/README.md @@ -2,6 +2,12 @@

Colossal-LLaMA

+ +

+ GPU Cloud Playground | + LLaMA3 Image +

+
## Table of Contents diff --git a/applications/ColossalEval/README.md b/applications/ColossalEval/README.md index a1a76f750..890b1fed3 100644 --- a/applications/ColossalEval/README.md +++ b/applications/ColossalEval/README.md @@ -2,6 +2,12 @@

+ +

+ GPU Cloud Playground | + Colossal-Eval Image +

+ ## Table of Contents diff --git a/applications/README.md b/applications/README.md index e7c23c7e9..5b8b5e501 100644 --- a/applications/README.md +++ b/applications/README.md @@ -2,6 +2,15 @@ This directory contains the applications that are powered by Colossal-AI. +
+ +

+ GPU Cloud Playground | + Playground Document +

+ +
+ The list of applications include: - [X] [Open-Sora](https://github.com/hpcaitech/Open-Sora): Revealing Complete Model Parameters, Training Details, and Everything for Sora-like Video Generation Models diff --git a/docs/README-zh-Hans.md b/docs/README-zh-Hans.md index dc97b461a..ef121d348 100644 --- a/docs/README-zh-Hans.md +++ b/docs/README-zh-Hans.md @@ -9,6 +9,7 @@ 文档 | 例程 | 论坛 | + 潞晨云 | 博客 [![GitHub Repo stars](https://img.shields.io/github/stars/hpcaitech/ColossalAI?style=social)](https://github.com/hpcaitech/ColossalAI/stargazers) @@ -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 [[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) [[模型权重]](https://github.com/hpcaitech/Open-Sora?tab=readme-ov-file#model-weights) [[演示样例]](https://github.com/hpcaitech/Open-Sora?tab=readme-ov-file#-latest-demo) +[[潞晨云]](https://cloud.luchentech.com/) +[[OpenSora镜像]](https://cloud.luchentech.com/doc/docs/image/open-sora/)
@@ -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
### Colossal-LLaMA-2 +[[潞晨云]](https://cloud.luchentech.com/) +[[LLaMA3 镜像]](https://cloud.luchentech.com/doc/docs/image/llama) - 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 [[代码]](https://github.com/hpcaitech/ColossalAI/tree/main/applications/Colossal-LLaMA-2) @@ -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

- 700亿参数LLaMA3训练加速18% -[[code]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/language/llama) +[[代码]](https://github.com/hpcaitech/ColossalAI/tree/main/examples/language/llama) +[[潞晨云]](https://cloud.luchentech.com/) +[[LLaMA3 镜像]](https://cloud.luchentech.com/doc/docs/image/llama) ### LLaMA2

@@ -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 - 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 [[代码]](https://github.com/hpcaitech/ColossalAI/tree/main/colossalai/inference) [[博客]](https://hpc-ai.com/blog/colossal-inference) +[[潞晨云]](https://cloud.luchentech.com/) +[[LLaMA3 镜像]](https://cloud.luchentech.com/doc/docs/image/llama) ### Grok-1

diff --git a/examples/README.md b/examples/README.md index b822fb8ff..045632fc3 100644 --- a/examples/README.md +++ b/examples/README.md @@ -1,4 +1,12 @@ # Colossal-AI Examples +

+ +

+ GPU Cloud Playground | + Playground Document +

+ +
## Table of Contents