X-LLM
Multimodal LLM Framework
A framework that enables large language models to process and understand multimodal inputs from various sources such as images and speech.
X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages
308 stars
9 watching
17 forks
Language: Python
last commit: about 3 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 bytedance/lynx-llm | A framework for training GPT4-style language models with multimodal inputs using large datasets and pre-trained models | 231 |
 lyuchenyang/macaw-llm | A multi-modal language model that integrates image, video, audio, and text data to improve language understanding and generation | 1,568 |
 pleisto/yuren-baichuan-7b | A multi-modal large language model that integrates natural language and visual capabilities with fine-tuning for various tasks | 73 |
 damo-nlp-mt/polylm | A polyglot large language model designed to address limitations in current LLM research and provide better multilingual instruction-following capability. | 77 |
 dreadnode/rigging | A framework for leveraging language models in production code | 216 |
 neulab/pangea | An open-source multilingual large language model designed to understand and generate content across diverse languages and cultural contexts | 92 |
 msoedov/langcorn | A framework for serving large language models with a robust and efficient API | 909 |
 alpha-vllm/wemix-llm | An LLaMA-based multimodal language model with various instruction-following and multimodal variants. | 17 |
 runpeidong/dreamllm | A framework to build versatile Multimodal Large Language Models with synergistic comprehension and creation capabilities | 402 |
 victordibia/llmx | An API that provides a unified interface to multiple large language models for chat fine-tuning | 79 |
 yuliang-liu/monkey | An end-to-end image captioning system that uses large multi-modal models and provides tools for training, inference, and demo usage. | 1,849 |
 wgryc/phasellm | A framework for managing and testing large language models to evaluate their performance and optimize user experiences. | 451 |
 ailab-cvc/seed | An implementation of a multimodal language model with capabilities for comprehension and generation | 585 |
 csuhan/onellm | A framework for training and fine-tuning multimodal language models on various data types | 601 |
 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 |