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ColossalAI/applications
History
Wenhao Chen e614aa34f3
[shardformer, pipeline] add `gradient_checkpointing_ratio` and heterogenous shard policy for llama (#5508) 		8 months ago
..
Colossal-LLaMA-2 fix tensor data update for gemini loss caluculation (#5442) 9 months ago
ColossalChat [ColossalChat] Update RLHF V2 (#5286) 8 months ago
ColossalEval [eval-hotfix] set few_shot_data to None when few shot is disabled (#5422) 9 months ago
ColossalMoE [shardformer, pipeline] add `gradient_checkpointing_ratio` and heterogenous shard policy for llama (#5508) 8 months ago
ColossalQA [hotfix] fix typo s/keywrods/keywords etc. (#5429) 9 months ago
README.md [doc] update open-sora demo (#5479) 8 months ago

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.