LlamaIndex Multi_Modal_Llms Integration: Huggingface

[g-hano]

Description

This project integrates Hugging Face's multimodal language models into the LlamaIndex framework, enabling advanced multimodal capabilities for various AI applications.

Fixes #16056

Features

• Seamless integration of Hugging Face multimodal models with LlamaIndex
• Support for multiple state-of-the-art vision-language models and their finetunes:
  • Qwen2 Vision
  • Florence2
  • Phi-3.5 Vision
  • PaLI-Gemma
• Easy-to-use interface for multimodal tasks like image captioning and visual question answering
• Configurable model parameters for fine-tuned performance

New Package?

Did I fill in the tool.llamahub section in the pyproject.toml and provide a detailed README.md for my new integration or package?

• Yes
• No

Version Bump?

Did I bump the version in the pyproject.toml file of the package I am updating? (Except for the llama-index-core package)

• Yes
• No

Type of Change

Please delete options that are not relevant.

• New feature (non-breaking change which adds functionality)

How Has This Been Tested?

Please describe the tests that you ran to verify your changes. Provide instructions so we can reproduce. Please also list any relevant details for your test configuration

• Added new unit/integration tests
• Added new notebook (that tests end-to-end)
• I stared at the code and made sure it makes sense

Suggested Checklist:

• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• I have added Google Colab support for the newly added notebooks.
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes
• I ran make format; make lint to appease the lint gods

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