An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Inference code for Llama models

LLaMA: Open and Efficient Foundation Language Models

Code and documentation to train Stanford's Alpaca models, and generate the data.

Awesome-LLM: a curated list of Large Language Model

OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

【LLMs九层妖塔】分享 LLMs在自然语言处理（ChatGLM、Chinese-LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等）、信息检索（langchain）、语言合成、语言识别、多模态等领域（Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等）等 实战与经验。

[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

✨✨Latest Advances on Multimodal Large Language Models

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"

Segment Anything in High Quality [NeurIPS 2023]

[CVPR 2024] MovieChat: From Dense Token to Sparse Memory for Long Video Understanding