History

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
..
Chat	[Chat] fix sft loss nan (#5345 )	2024-02-01 14:25:16 +08:00
Colossal-LLaMA-2	fix tensor data update for gemini loss caluculation (#5442 )	2024-03-11 13:49:58 +08:00
ColossalEval	[eval-hotfix] set few_shot_data to None when few shot is disabled (#5422 )	2024-03-05 21:48:55 +08:00
ColossalMoE	[hotfix] set return_outputs=False in examples and polish code (#5404 )	2024-03-25 12:31:09 +08:00
ColossalQA	[hotfix] fix typo s/keywrods/keywords etc. (#5429 )	2024-03-12 11:25:16 +08:00
README.md	[doc] update open-sora demo (#5479 )	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.