t6am3 / law_glm_baseline
☆15Updated 8 months ago
Alternatives and similar repositories for law_glm_baseline:
Users that are interested in law_glm_baseline are comparing it to the libraries listed below
- ☆21Updated 7 months ago
- 介绍docker、docker compose的使用。☆20Updated 5 months ago
- Qwen-WisdomVast is a large model trained on 1 million high-quality Chinese multi-turn SFT data, 200,000 English multi-turn SFT data, and …☆18Updated 10 months ago
- Ziya-LLaMA-13B是IDEA基于LLaMa的130亿参数的大规模预训练模型,具备翻译,编程,文本分类,信息抽取,摘要,文案生成,常识问答和数学计算等能力。目前姜子牙通用大模型已完成大规模预训练、多任务有监督微调和人类反馈学习三阶段的训练过程。本文主要用于Ziya-…☆45Updated last year
- TianGong-AI-Unstructure☆58Updated 3 weeks ago
- The LLM of NL2GQL with NebulaGraph or Neo4j☆90Updated last year
- 通用版面分析 | 中文文档解析 |Document Layout Analysis | layout paser☆46Updated 8 months ago
- 使用qlora对中文大语言模型进行微调,包含ChatGLM、Chinese-LLaMA-Alpaca、BELLE☆85Updated last year
- SearchGPT: Building a quick conversation-based search engine with LLMs.☆44Updated last month
- 通用简单工具项目☆15Updated 4 months ago
- 基于 LoRA 和 P-Tuning v2 的 ChatGLM-6B 高效参数微调☆54Updated last year
- qwen-7b and qwen-14b finetuning☆90Updated 10 months ago
- the newest version of llama3,source code explained line by line using Chinese☆22Updated 10 months ago
- 国内首个全参数训练的法律大模型 HanFei-1.0 (韩非)☆113Updated last year
- Qwen1.5-SFT(阿里, Ali), Qwen_Qwen1.5-2B-Chat/Qwen_Qwen1.5-7B-Chat微调(transformers)/LORA(peft)/推理☆53Updated 9 months ago
- ChatGLM2-6B微调, SFT/LoRA, instruction finetune☆105Updated last year
- 由中国政法大学和北京航空航天大学共同设计,基于GLM-9B的法律文书处理和判决预测模型☆15Updated 5 months ago
- 中文原生检索增强生成测评基准☆109Updated 10 months ago
- 用于微调LLM的中文指令数据集☆27Updated last year
- ☆62Updated 5 months ago
- 大语言模型训练和服务调研☆36Updated last year
- ChatGPT WebUI using gradio. 给 LLM 对话和检索知识问答RAG提供一个简单好用的Web UI界面☆112Updated 5 months ago
- Imitate OpenAI with Local Models☆86Updated 5 months ago
- 大模型检索增强生成技术最佳实践。☆60Updated 5 months ago
- accelerate generating vector by using onnx model☆14Updated last year
- Agentica: Effortlessly Build Intelligent, Reflective, and Collaborative Multimodal AI Agents! 轻松构建智能、具备反思能力、可协作的多模态AI Agent。☆129Updated last month
- 使用Qwen1.5-0.5B-Chat模型进行通用信息抽取任务的微调,旨在: 验证生成式方法相较于抽取式NER的效果; 为新手提供简易的模型微调流程,尽量减少代码量; 大模型训练的数据格式处理。☆11Updated 5 months ago
- 大型语言模型实战指南:应用实践与场景落地☆57Updated 5 months ago
- 中文世界的NLP自动标注开源工具,简单样本,交给LabelFast。☆63Updated last month