LLaVA-NeXT
Multimodal model developer
Develops large multimodal models for various computer vision tasks including image and video analysis
3k stars
37 watching
266 forks
Language: Python
last commit: almost 2 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
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 damo-nlp-sg/video-llama | An audio-visual language model designed to understand and respond to video content with improved instruction-following capabilities | 2,842 |
 dvlab-research/mgm | An open-source framework for training large language models with vision capabilities. | 3,229 |
 alpha-vllm/llama2-accessory | An open-source toolkit for pretraining and fine-tuning large language models | 2,732 |
| llava-vl/llava-interactive-demo | An all-in-one demo for interactive image processing and generation | 353 |
| llava-vl/llava-plus-codebase | A platform for training and deploying large language and vision models that can use tools to perform tasks | 717 |
 scisharp/llamasharp | An efficient C#/.NET library for running Large Language Models (LLMs) on local devices | 2,750 |
 wisconsinaivision/vip-llava | A system designed to enable large multimodal models to understand arbitrary visual prompts | 302 |
 eleutherai/lm-evaluation-harness | Provides a unified framework to test generative language models on various evaluation tasks. | 7,200 |
 hiyouga/llama-factory | A tool for efficiently fine-tuning large language models across multiple architectures and methods. | 36,219 |
 optimalscale/lmflow | A toolkit for fine-tuning and inferring large machine learning models | 8,312 |
 qwenlm/qwen2-vl | A multimodal large language model series developed by the Qwen team to understand and process images, videos, and text. | 3,613 |
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