LLaVaOLMoBitnet1B: Ternary LLM goes Multimodal!
Authors: name: Jainaveen Sundaram, name: Ravishankar Iyer

Multimodal Large Language Models (MM-LLMs) have seen significant advancements
in the last year, demonstrating impressive performance across tasks. However,
to truly democratize AI, models must exhibit strong capabilities and be able to
run efficiently on small compute footprints accessible by most. Part of this
quest, we introduce LLaVaOLMoBitnet1B - the first Ternary Multimodal LLM
capable of accepting Image(s)+Text inputs to produce coherent textual
responses. The model is fully open-sourced along with training scripts to
encourage further research in this space. This accompanying technical report
highlights the training process, evaluation details, challenges associated with
ternary models and future opportunities. Link to the model:
https://huggingface.co/IntelLabs/LlavaOLMoBitnet1B