[知识编辑] [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

Inferflow is an efficient and highly configurable inference engine for large language models (LLMs).

Source code of "Reasons to Reject? Aligning Language Models with Judgments"

[ICLR 2023] Codebase for Copy-Generator model, including an implementation of kNN-LM

Chinese and English multimodal conversational language model | 多模态中英双语对话语言模型

Some useful tips for faiss

🐟 Code and models for the NeurIPS 2023 paper "Generating Images with Multimodal Language Models".

A large-scale 7B pretraining language model developed by BaiChuan-Inc.

[TLLM'23] PandaGPT: One Model To Instruction-Follow Them All

OpenAlpaca: A Fully Open-Source Instruction-Following Model Based On OpenLLaMA

Instruct-tune LLaMA on consumer hardware

This is a pytorch implementation of k-means clustering algorithm

contrastive decoding

The code of paper "Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation" published at NeurIPS 2022

A Unified Library for Parameter-Efficient and Modular Transfer Learning

[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

AMR Parsing via Graph-Sequence Iterative Inference

Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"

FairSeq repo with Apollo optimizer

Neuro-Symbolic AI Toolkit

a simple yet complete implementation of the popular BERT model

This project maintains a reading list for general text generation tasks

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System (ACL 2022)