Stars
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
An Open-sourced Knowledgable Large Language Model Framework.
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
QLoRA: Efficient Finetuning of Quantized LLMs
AirLLM 70B inference with single 4GB GPU
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…
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
BELLE: Be Everyone's Large Language model Engine(开源中文对话大模型)
Aligning pretrained language models with instruction data generated by themselves.
Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系,成为中文AIGC和认知智能的基础设施。
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
chatglm 6b finetuning and alpaca finetuning
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
we want to create a repo to illustrate usage of transformers in chinese
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。
Pattern-Exploiting Training在中文上的简单实验
超长文本分类(大于1000字);文档级/篇章级文本分类;主要是解决长距离依赖问题
中文文本分类实践,基于搜狗新闻语料库,采用传统机器学习方法以及预训练模型等方法
[ACL 2021] This is the project containing source codes and pre-trained models about ACL2021 Long Paper ``LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations".