Multi-Modal model support

Nobody has claimed this yet.

We are very interested in integrating open source self-hosted multi-modal models into LLMWare. We have been watching the space closely and looking for ideas and contributions for supporting open source multi-modal models that work in conjunction with RAG and Agent-based automation pipelines.

Our key criteria is that there must be a use case related to some business objective (e.g., not just image generation), the model needs to work reasonably well, and should be self-hostable (e.g., max of 10-15B parameters).

To implement, the key focus will be the construction of a new MultiModal model class, and design of the preprocessor and postprocessors required to handle the multi-modal content, along with support for the underlying model packaging (e.g., GGUF, Pytorch, ONNX, OpenVino). We would look to collaborate and will support the underlying inferencing technology required.

The issue names no files, tests, or entry points; begin by surveying existing model, RAG, and agent integration points in the repository and the supported self-hosting paths. Done requires a new MultiModal model class with preprocessor and postprocessor handling, a supported packaging path such as PyTorch, and a demonstrated business use case within the stated parameter limit.

Written by the indexing model from the issue text.