ruidongtd

ruidongtd's Stars

• LAION-AI/Open-Assistant

  OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

  Language:Python37.1k4311.6k3.2k

• tloen/alpaca-lora

  Instruct-tune LLaMA on consumer hardware

  Language:Jupyter Notebook18.7k1544692.2k

• ymcui/Chinese-LLaMA-Alpaca

  中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

  Language:Python18.4k1857311.9k

• GaiZhenbiao/ChuanhuChatGPT

  GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.

  Language:Python15.3k847952.3k

• josStorer/chatGPTBox

  Integrating ChatGPT into your browser deeply, everything you need is here

  Language:JavaScript10.1k54687761

• LianjiaTech/BELLE

  BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

  Language:HTML7.9k107441761

• microsoft/DeepSpeedExamples

  Example models using DeepSpeed

  Language:Python6.1k755391k

• yangjianxin1/Firefly

  Firefly: 大模型训练工具，支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

  Language:Python5.9k56280528

• Instruction-Tuning-with-GPT-4/GPT-4-LLM

  Instruction Tuning with GPT-4

  Language:HTML4.2k4334302

• Facico/Chinese-Vicuna

  Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案，结构参考alpaca

  Language:C4.1k58248420

• mymusise/ChatGLM-Tuning

  基于ChatGLM-6B + LoRA的Fintune方案

  Language:Python3.7k31249441

• LC1332/Luotuo-Chinese-LLM

  骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技

  Language:Jupyter Notebook3.6k5544247

• yuanzhoulvpi2017/zero_nlp

  中文nlp解决方案(大模型、数据、模型、训练、推理)

  Language:Jupyter Notebook3k30200369

• PhoebusSi/Alpaca-CoT

  We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！

  Language:Jupyter Notebook2.6k36100248

• thunlp/UltraChat

  Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)

  Language:Python2.3k4030116

• HarderThenHarder/transformers_tasks

  ⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.

  Language:Jupyter Notebook2.2k1889381

• AetherCortex/Llama-X

  Open Academic Research on Improving LLaMA to SOTA LLM

  Language:Python1.6k4221103

• ssbuild/chatglm_finetuning

  chatglm 6b finetuning and alpaca finetuning

  Language:Python1.5k20246176

• hikariming/alpaca_chinese_dataset

  人工精调的中文对话数据集和一段chatglm的微调代码

  Language:Jupyter Notebook1.1k153489

• ydli-ai/Chinese-ChatLLaMA

  中文LLaMA基础模型；中文ChatLLaMA对话模型；NLP预训练/指令微调数据集

  Language:Python81974

• lich99/ChatGLM-finetune-LoRA

  Code for fintune ChatGLM-6b using low-rank adaptation (LoRA)

  Language:Jupyter Notebook72684864

• yanqiangmiffy/InstructGLM

  ChatGLM-6B 指令学习|指令数据|Instruct

  Language:Python652113351

• bigscience-workshop/xmtf

  Crosslingual Generalization through Multitask Finetuning

  Language:Jupyter Notebook51862238

• zhenbench/z-bench

  Z-Bench 1.0 by 真格基金：一个麻瓜的大语言模型中文测试集。Z-Bench is a LLM prompt dataset for non-technical users, developed by an enthusiastic AI-focused team in Zhenfund.

  48210842

• sunzeyeah/RLHF

  Implementation of Chinese ChatGPT

  Language:Python28782536

• Guanaco-Model/Guanaco-Model.github.io

  Language:HTML120318

• sherlcok314159/ChineseMRC-Data

  收集了目前为止中文领域的MRC抽取式数据集

  1182114

• amazon-science/alexa-arena

  Language:Python1054111

• RasaHQ/kb-demo-chatgpt

  Language:Python464215

• UnstoppableCurry/High-quality-Chinese-Q-A-dataset

  最大开源中文问答数据集 ,助力中文LLM.The largest open-source Chinese Q&A dataset, supporting Chinese LLM

  Language:Python8201