LLaVaOLMoBitnet1B: Ternary LLM goes Multimodal!
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
66cd46147ab136deb3862f5e
Jainaveen Sundaram
claimed_verified
2024-08-27T20:42:26.586Z
615f72d3205e10d5c3903df3
/avatars/c85352ad1b858fd6c1629ddea06d0dea.svg
Naveen Sp
user
naveensp
66cd46147ab136deb3862f5f
Ravishankar Iyer
LLaVaOLMoBitnet1B: Ternary LLM goes Multimodal!
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
LLaVaOLMoBitnet1B is the first open-source ternary multimodal LLM that processes images and text to generate coherent responses, designed to run efficiently on small computational resources.
Multimodal Large Language Models MM-LLMs Ternary Multimodal LLM