wuhuizhe

wuhuizhe's Stars

• FudanDISC/DISC-FinLLM

  DISC-FinLLM，中文金融大语言模型（LLM），旨在为用户提供金融场景下专业、智能、全面的金融咨询服务。DISC-FinLLM, a Chinese financial large language model (LLM) designed to provide users with professional, intelligent, and comprehensive financial consulting services in financial scenarios.

  Language:Python63474

• THUDM/LongWriter

  LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

  Language:Python1.6k153

• andrewyng/translation-agent

  Language:Python5k594

• ContextualAI/HALOs

  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).

  Language:Python77848

• THUDM/CogVideo

  text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)

  Language:Python10.2k953

• Chongjie-Si/Subspace-Tuning

  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.

  Language:Python1197

• seanzhang-zhichen/llama3-chinese

  Llama3-Chinese是以Meta-Llama-3-8B为底座，使用 DORA + LORA+ 的训练方法，在50w高质量中文多轮SFT数据 + 10w英文多轮SFT数据 + 2000单轮自我认知数据训练而来的大模型。

  Language:Python29421

• pengxiao-song/LaWGPT

  🎉 Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge. 基于中文法律知识的大语言模型

  Language:Python5.9k541

• liuhuanyong/CrimeKgAssitant

  Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.

  Language:Python1.4k385

• LawRefBook/Laws

  Language:Python1.5k252

• unslothai/unsloth

  Finetune Llama 3.3, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 70% less memory

  Language:Python20.2k1.4k

• luhua-rain/MRC_Competition_Dureader

  机器阅读理解 冠军/亚军代码及中文预训练MRC模型

  Language:Python734150

• modelscope/modelscope-agent

  ModelScope-Agent: An agent framework connecting models in ModelScope with the world

  Language:Python2.8k322

• CLUEbenchmark/SuperCLUE

  SuperCLUE: 中文通用大模型综合性基准 | A Benchmark for Foundation Models in Chinese

  3.1k100

• haonan-li/CMMLU

  CMMLU: Measuring massive multitask language understanding in Chinese

  Language:Python71561

• modelscope/ms-swift

  Use PEFT or Full-parameter to finetune 400+ LLMs (Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, ...) or 150+ MLLMs (Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2.5, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL2, Phi3.5-Vision, GOT-OCR2, ...).

  Language:Python5k432

• owenliang/qwen-vllm

  通义千问VLLM推理部署DEMO

  Language:Python49173

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python37.6k4.6k

• liguodongiot/llm-action

  本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

  Language:HTML12.7k1.4k

• QwenLM/Qwen

  The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

  Language:Python15.2k1.2k

• 01-ai/Yi

  A series of large language models trained from scratch by developers @01-ai

  Language:Jupyter Notebook7.8k491

• 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:TypeScript32.9k5.7k

• QwenLM/Qwen2.5

  Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

  Language:Shell11.6k703

• datawhalechina/self-llm

  《开源大模型食用指南》针对**宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

  Language:Jupyter Notebook11.2k1.3k

• netease-youdao/BCEmbedding

  Netease Youdao's open-source embedding and reranker models for RAG products.

  Language:Python1.6k106

• netease-youdao/QAnything

  Question and Answer based on Anything.

  Language:Python12.3k1.2k

• datawhalechina/learn-nlp-with-transformers

  we want to create a repo to illustrate usage of transformers in chinese

  Language:Shell2.5k422

• BDBC-KG-NLP/QA-Survey-CN

  北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。

  1.8k262

• X-jun-0130/LLM-Pretrain-FineTune

  Deepspeed、LLM、Medical_Dialogue、医疗大模型、预训练、微调

  Language:Python24235

• jxzhangjhu/Awesome-LLM-RAG

  Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

  1k64