Making large AI models cheaper, faster and more accessible
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digger yu 385e85afd4
[hotfix] fix typo s/keywrods/keywords etc. (#5429)
9 months ago
..
Chat [Chat] fix sft loss nan (#5345) 10 months ago
Colossal-LLaMA-2 fix tensor data update for gemini loss caluculation (#5442) 9 months ago
ColossalEval [eval-hotfix] set few_shot_data to None when few shot is disabled (#5422) 9 months ago
ColossalMoE [moe] fix mixtral optim checkpoint (#5344) 10 months ago
ColossalQA [hotfix] fix typo s/keywrods/keywords etc. (#5429) 9 months ago
README.md [doc] sora release (#5425) 9 months ago

README.md

Applications

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

The list of applications include:

  • Open-Sora: Sora Replication Solution with 46% Cost Reduction, Sequence Expansion to Nearly a Million
  • 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.