DLiquor

DLiquor's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python166k1.6k2.6k44.1k

• meta-llama/llama

  Inference code for Llama models

  Language:Python55.4k5159599.5k

• THUDM/ChatGLM-6B

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

  Language:Python40.4k3941.3k5.2k

• chatchat-space/Langchain-Chatchat

  Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  Language:TypeScript31.2k2833.8k5.4k

• tatsu-lab/stanford_alpaca

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

  Language:Python29.3k3392674k

• nlpxucan/WizardLM

  LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

  Language:Python9.2k113189712

• baichuan-inc/Baichuan-7B

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

  Language:Python5.7k66129506

• hiyouga/ChatGLM-Efficient-Tuning

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

  Language:Python3.6k32374471

• eosphoros-ai/Awesome-Text2SQL

  Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.

  1.6k185121

• eosphoros-ai/DB-GPT-Hub

  A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL

  Language:Python1.3k20147181

• facebookresearch/KILT

  Library for Knowledge Intensive Language Tasks

  Language:Python905253191

• sylinrl/TruthfulQA

  TruthfulQA: Measuring How Models Imitate Human Falsehoods

  Language:Jupyter Notebook57381065

• hkust-nlp/deita

  Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]

  Language:Python46562528

• hotpotqa/hotpot

  Language:Python436134575

• likenneth/honest_llama

  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

  Language:Python42993634

• voidism/DoLa

  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"

  Language:Python40431548

• shmsw25/FActScore

  A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"

  Language:Python27143539

• OFA-Sys/InsTag

  InsTag: A Tool for Data Analysis in LLM Supervised Fine-tuning

  1963107

• nlpdata/c3

  Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension

  Language:Python1669023

• OhadRubin/SmBop

  Language:Python8834935

• WING-NUS/SG-Deep-Question-Generation

  This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).

  Language:Python633013

• HLTCHKUST/MulQG

  Multi-hop Question Generation with Graph Convolutional Network

  Language:Python28296

• sion-zcfei/CQG

  The codes for ACL2022 paper “CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation

  Language:Python23169

• sugyeonge/Towards-diverse-QAG

  Language:Python1612

• gouqi666/RAST

  Language:Python14101

• magic-YuanTian/STEPS

  Interactive SQL generation via editable step-by-step explanation

  Language:Python13111

• hkyoon95/mQG

  Language:Python6121

• zzh-SJTU/CRT-QA

  The official data and code for EMNLP 2023 main conference paper: CRT-QA: A Dataset of Complex Reasoning Question Answering over Tabular Data

  5120

• liuyuxiang512/ECQG

  Language:Python4110

• RUCKBReasoning/SGSH

  The PyTorch implementation of SGSH (NAACL 2024 Findings)

  Language:Python4200