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Making large AI models cheaper, faster and more accessible
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ColossalAI/applications
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[Chat] fix readme (#5989) 		3 months ago
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Colossal-LLaMA [Feature] Add a switch to control whether the model checkpoint needs to be saved after each epoch ends (#5941) 4 months ago
ColossalChat [Chat] fix readme (#5989) 3 months ago
ColossalEval [feat] Dist Loader for Eval (#5950) 4 months ago
ColossalMoE [MoE/ZeRO] Moe refactor with zero refactor (#5821) 5 months ago
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README.md

Applications

This directory contains the applications that are powered by Colossal-AI.

The list of applications include:

  • Open-Sora: Revealing Complete Model Parameters, Training Details, and Everything for Sora-like Video Generation Models
  • ColossalChat: Replication of ChatGPT with RLHF.
  • Colossal-LLaMA: Continual Pre-training and Supervisied Fine-tuning of LLaMA2 / LLaMA3.
  • ColossalEval: Evaluation Pipeline for LLMs.
  • FastFold: Optimizing AlphaFold (Biomedicine) Training and Inference on GPU Clusters.
  • ColossalQA: Document Retrieval Conversation System
  • SwiftInfer: Breaks the Length Limit of LLM Inference for Multi-Round Conversations

Please note that the Chatbot application is migrated from the original ChatGPT folder.

You can find more example code for base models and functions in the Examples directory.