Stars
g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains
Official Implementation of NeurIPS 2024 paper "G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering""
[NeurIPS 2024] Official implementation for paper "Can Graph Learning Improve Planning in LLM-based Agents?"
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
Large Language Model Text Generation Inference
OpenLLMWiki: Docs of OpenLLMAI. Survey, reproduction and domain/task adaptation of open source chatgpt alternatives/implementations. PiXiu-貔貅 means fortune.
Infinite Photorealistic Worlds using Procedural Generation
A collection of AWESOME things about Graph-Related LLMs.
Graph based Knowledge Distillation: A Survey
🌻 一键拥有你自己的 ChatGPT+众多AI 网页服务 | One click access to your own ChatGPT+Many AI web services
QLoRA: Efficient Finetuning of Quantized LLMs
Accessible large language models via k-bit quantization for PyTorch.
The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)
Code for AAAI 2023 (Oral) paper "Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework"
Instruct-tune LLaMA on consumer hardware
Aligning pretrained language models with instruction data generated by themselves.
Example models using DeepSpeed
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…
Train transformer language models with reinforcement learning.
Generate 3D objects conditioned on text or images
Notebooks using the Hugging Face libraries 🤗
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
High-Resolution Image Synthesis with Latent Diffusion Models
Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)
🦜🔗 Build context-aware reasoning applications
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.