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I'd like to suggest several enhancements that could improve the project's usability and documentation:
Incorporation of a setup.py File: It would be highly beneficial to include a setup.py file in the repository. This file could automate the installation process by building the setup tools dependency, and streamlining the setup for new users.
Documentation of FlashAttention in Training.md: I recommend adding a section or note about the FlashAttention mechanism within the Training.md documentation. This addition would help users understand its role and implementation within the training process.
Guidance on Downloading the LLaVA Model: Providing a command or step-by-step instructions for downloading the LLaVA model using the snapshot module from Hugging Face would greatly assist users in getting started with the model. This clarity could prevent confusion and streamline the initial setup.
Separate README for Grounding Functionality: Considering the complexity and importance of grounding functionality, create a separate README.md focused on this aspect could make the information more accessible and easier to digest for new users.
Exploring the model with grounding capabilities hosted on Hugging Face would be immensely helpful for gaining a deeper understanding.
@shehanmunasinghe, these suggestions are intended to enhance the project's accessibility, documentation, and user experience. I believe these improvements could make a significant difference for both new and existing users.
The text was updated successfully, but these errors were encountered:
I'd like to suggest several enhancements that could improve the project's usability and documentation:
Incorporation of a setup.py File: It would be highly beneficial to include a setup.py file in the repository. This file could automate the installation process by building the setup tools dependency, and streamlining the setup for new users.
Documentation of FlashAttention in Training.md: I recommend adding a section or note about the FlashAttention mechanism within the Training.md documentation. This addition would help users understand its role and implementation within the training process.
Guidance on Downloading the LLaVA Model: Providing a command or step-by-step instructions for downloading the LLaVA model using the snapshot module from Hugging Face would greatly assist users in getting started with the model. This clarity could prevent confusion and streamline the initial setup.
Separate README for Grounding Functionality: Considering the complexity and importance of grounding functionality, create a separate README.md focused on this aspect could make the information more accessible and easier to digest for new users.
Exploring the model with grounding capabilities hosted on Hugging Face would be immensely helpful for gaining a deeper understanding.
@shehanmunasinghe, these suggestions are intended to enhance the project's accessibility, documentation, and user experience. I believe these improvements could make a significant difference for both new and existing users.
The text was updated successfully, but these errors were encountered: