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Top 3 Python pipeline-parallelism Projects
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DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Project mention: Can we discuss MLOps, Deployment, Optimizations, and Speed? | /r/LocalLLaMA | 2023-12-06DeepSpeed can handle parallelism concerns, and even offload data/model to RAM, or even NVMe (!?) . I'm surprised I don't see this project used more.
So how long until we can do an open source Mistral Large?
We could make a start on Petals or some other open source distributed training network cluster possibly?
[0] https://petals.dev/
Python pipeline-parallelism related posts
- Making large AI models cheaper, faster and more accessible
- ColossalChat: An Open-Source Solution for Cloning ChatGPT with a RLHF Pipeline
- Meet ColossalChat: An Open-Source AI Solution For Cloning ChatGPT With A Complete RLHF Pipeline
- A top AI researcher reportedly left Google for OpenAI after sharing concerns the company was training Bard on ChatGPT data
- Colossal-AI: open-source RLHF pipeline based on LLaMA pre-trained model
- ColossalChat
- ColossalChat: An Open-Source Solution for Cloning ChatGPT with RLHF Pipeline
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A note from our sponsor - SaaSHub
www.saashub.com | 24 Apr 2024
Index
What are some of the best open-source pipeline-parallelism projects in Python? This list will help you:
Project | Stars | |
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1 | ColossalAI | 37,836 |
2 | DeepSpeed | 32,550 |
3 | petals | 8,661 |
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