Files
ColossalAI/applications
Wenhao Chen bb0a668fee [hotfix] set return_outputs=False in examples and polish code (#5404)
* fix: simplify merge_batch

* fix: use return_outputs=False to eliminate extra memory consumption

* feat: add return_outputs warning

* style: remove `return_outputs=False` as it is the default value
2024-03-25 12:31:09 +08:00
..
2024-02-01 14:25:16 +08:00
2024-03-20 16:08:41 +08:00

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.