# Open-source chatbot

MQT-LLaVA is an open-source multimodal chatbot model based on the Transformer architecture. It is trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction data.

PLLaVA is an open-source video language chatbot, obtained by fine-tuning a large image language model on video instruction following data, which can be used for the research of multimodal large models and chatbots.

MGM-7B is an open-source multimodal chatbot trained on Vicuna-7B-v1.5, supporting high-definition image understanding, reasoning, and generation.

ViP-LLaVA is an open-source multimodal chatbot, fine-tuned on LLaMA/Vicuna with image and region-level instruction data.

LLaMA-VID is an open-source multimodal chatbot fine-tuned from LLaMA/Vicuna, supporting hours-long video processing through extended context tokens.

StableVicuna-13B is a dialogue model fine-tuned via RLHF based on Vicuna-13B v0, using 4-bit GPTQ quantization format

FastChat-T5 is an open-source chatbot fine-tuned based on Flan-t5-xl, featuring an encoder-decoder architecture that supports autoregressive dialogue response generation.

Vicuna is an open-source chatbot fine-tuned from LLaMA using user-shared dialogue data, suitable for academic research.