Macaw-LLM
Multimodal LLM
A multi-modal language model that integrates image, video, audio, and text data to improve language understanding and generation
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
2k stars
33 watching
127 forks
Language: Python
last commit: 5 months ago deep-learninglanguage-modelmachine-learningmulti-modal-learningnatural-language-processingneural-networks
Related projects:
Repository | Description | Stars |
---|---|---|
pleisto/yuren-baichuan-7b | A multi-modal large language model that integrates natural language and visual capabilities with fine-tuning for various tasks | 72 |
phellonchen/x-llm | A framework that enables large language models to process and understand multimodal inputs from various sources such as images and speech. | 306 |
neulab/pangea | An open-source multilingual large language model designed to understand and generate content across diverse languages and cultural contexts | 91 |
bytedance/lynx-llm | A framework for training GPT4-style language models with multimodal inputs using large datasets and pre-trained models | 229 |
damo-nlp-mt/polylm | A polyglot large language model designed to address limitations in current LLM research and provide better multilingual instruction-following capability. | 76 |
alpha-vllm/wemix-llm | An LLaMA-based multimodal language model with various instruction-following and multimodal variants. | 17 |
yuliang-liu/monkey | A toolkit for building conversational AI models that can process images and text inputs. | 1,825 |
deeplangai/lingowhale-8b | An open bilingual LLM developed using the LingoWhale model, trained on a large dataset of high-quality middle English text, and fine-tuned for specific tasks such as conversation generation. | 134 |
multimodal-art-projection/omnibench | Evaluates and benchmarks multimodal language models' ability to process visual, acoustic, and textual inputs simultaneously. | 14 |
ailab-cvc/seed | An implementation of a multimodal language model with capabilities for comprehension and generation | 582 |
mbzuai-oryx/groundinglmm | An end-to-end trained model capable of generating natural language responses integrated with object segmentation masks. | 781 |
luogen1996/lavin | An open-source implementation of a vision-language instructed large language model | 508 |
csuhan/onellm | A framework for training and fine-tuning multimodal language models on various data types | 588 |
pku-yuangroup/languagebind | Extending pretraining models to handle multiple modalities by aligning language and video representations | 723 |
victordibia/llmx | An API that provides a unified interface to multiple large language models for chat fine-tuning | 79 |