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Wenhao Chen e614aa34f3
[shardformer, pipeline] add `gradient_checkpointing_ratio` and heterogenous shard policy for llama (#5508) 
* feat: add `GradientCheckpointConfig` and `PipelineGradientCheckpointConfig`

* feat: apply `GradientCheckpointConfig` to policy and llama_forward

* feat: move `distribute_layer` and `get_stage_index` to PipelineStageManager

* fix: add optional args for `distribute_layer` and `get_stage_index`

* fix: fix changed API calls

* test: update llama tests

* style: polish `GradientCheckpointConfig`

* fix: fix pipeline utils tests
 		2024-04-01 11:34:58 +08:00
..
Colossal-LLaMA-2 fix tensor data update for gemini loss caluculation (#5442) 2024-03-11 13:49:58 +08:00
ColossalChat [ColossalChat] Update RLHF V2 (#5286) 2024-03-29 14:12:29 +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 [shardformer, pipeline] add `gradient_checkpointing_ratio` and heterogenous shard policy for llama (#5508) 2024-04-01 11:34:58 +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

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.