SEED

Multimodal LLM

An implementation of a multimodal language model with capabilities for comprehension and generation

Official implementation of SEED-LLaMA (ICLR 2024).

GitHub

585 stars
15 watching
32 forks
Language: Python
last commit: almost 2 years ago
foundation-modelmultimodalvision-language

Related projects:

RepositoryDescriptionStars
ailab-cvc/seed-benchA benchmark for evaluating large language models' ability to process multimodal input322
alpha-vllm/wemix-llmAn LLaMA-based multimodal language model with various instruction-following and multimodal variants.17
khanrc/honeybeeAn implementation of a multimodal language model using locality-enhanced projection techniques435
mlpc-ucsd/blivaA multimodal LLM designed to handle text-rich visual questions270
pleisto/yuren-baichuan-7bA multi-modal large language model that integrates natural language and visual capabilities with fine-tuning for various tasks73
llava-vl/llava-interactive-demoAn all-in-one demo for interactive image processing and generation353
lyuchenyang/macaw-llmA multi-modal language model that integrates image, video, audio, and text data to improve language understanding and generation1,568
nvlabs/eagleDevelops high-resolution multimodal LLMs by combining vision encoders and various input resolutions549
multimodal-art-projection/omnibenchEvaluates and benchmarks multimodal language models' ability to process visual, acoustic, and textual inputs simultaneously.15
yuliang-liu/monkeyAn end-to-end image captioning system that uses large multi-modal models and provides tools for training, inference, and demo usage.1,849
bytedance/lynx-llmA framework for training GPT4-style language models with multimodal inputs using large datasets and pre-trained models231
dvlab-research/prompt-highlighterAn interactive control system for text generation in multi-modal language models135
dvlab-research/llama-vidAn image-based language model that uses large language models to generate visual and text features from videos748
neulab/pangeaAn open-source multilingual large language model designed to understand and generate content across diverse languages and cultural contexts92
runpeidong/dreamllmA framework to build versatile Multimodal Large Language Models with synergistic comprehension and creation capabilities402