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Making large AI models cheaper, faster and more accessible
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ColossalAI/applications
Wenhao Chen bb0a668fee
[hotfix] set return_outputs=False in examples and polish code (#5404) 		8 months ago
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Chat
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Colossal-LLaMA-2
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ColossalEval
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ColossalMoE [hotfix] set return_outputs=False in examples and polish code (#5404) 8 months ago
ColossalQA
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README.md
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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
  • Colossal-LLaMA-2: Continual Pre-training of LLaMA-2.
  • ColossalEval: Evaluation Pipeline for LLMs.
  • ColossalChat: Replication of ChatGPT with RLHF.
  • 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.