Research on Tabular Deep Learning: Papers & Packages

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

Jupyter notebooks for the Natural Language Processing with Transformers book

A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调

Transformer related optimization, including BERT, GPT

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

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

基于ChatGLM-6B + LoRA的Fintune方案

The AI Code Editor

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

Instruct-tune LLaMA on consumer hardware

LLM inference in C/C++

GPT4All: Chat with Local LLMs on Any Device

An open-source framework for training large multimodal models.

🦜🔗 Build context-aware reasoning applications

LlamaIndex is a data framework for your LLM applications

ChatGLM-6B fine-tuning.

Aligning pretrained language models with instruction data generated by themselves.

Toolkit for creating, sharing and using natural language prompts.

Let us control diffusion models!

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

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

UNICODE Characters for SYMBL.CC

Making large AI models cheaper, faster and more accessible