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Magnificent app which corrects your previous console command.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
A toolkit for developing and comparing reinforcement learning algorithms.
PyTorch Tutorial for Deep Learning Researchers
A modular graph-based Retrieval-Augmented Generation (RAG) system
Code and documentation to train Stanford's Alpaca models, and generate the data.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
SGLang is a high-performance serving framework for large language models and multimodal models.
Fast and memory-efficient exact attention
一个基于nano banana pro🍌的原生AI PPT生成应用，迈向真正的＂Vibe PPT＂; 支持上传任意模板图片；上传任意素材&智能解析；一句话/大纲/页面描述自动生成PPT；口头修改指定区域、一键导出可编辑ppt - An AI-native PPT generator based on nano banana pro🍌
A framework for few-shot evaluation of language models.
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Accessible large language models via k-bit quantization for PyTorch.
Supercharge Your LLM with the Fastest KV Cache Layer
Google AI 2018 BERT pytorch implementation
Efficient Triton Kernels for LLM Training
My learning notes for ML SYS.
An arbitrary face-swapping framework on images and videos with one single trained model!
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
Official PyTorch implementation for "Large Language Diffusion Models"
Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible.
Sky-T1: Train your own O1 preview model within $450
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
"Paper2Slides: From Paper to Presentation in One Click"