Popular GitHub Repositories for Lora Server

? Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

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

下一代 Node.js 和 TypeScript 对象关系映射 (ORM) 工具，支持 PostgreSQL、MySQL、MariaDB、SQL Server、SQLite、MongoDB 和 CockroachDB 数据库。

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! ?

? 1Panel offers an intuitive web interface for managing websites, files, containers, databases and LLMs within a Linux server.

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

???AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.

《开源大模型食用指南》针对中国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

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

Context7 MCP 服务器——关于大型语言模型 (LLM) 和 AI 代码编辑器的最新文档

stable diffusion webui colab

欢迎star⭐。使用微信聊天记录微调大语言模型，使用微信语音消息大模➕0.5B大模型实现高质量声音克隆，并绑定到微信机器人，实现自己的数字分身。 数字克隆/数字分身／声音克隆/LLM/大语言模型/微信聊天机器人/LoRA

State-of-the-art Machine Learning for the web. Run ? Transformers directly in your browser, with no need for a server!

PredictionIO, a machine learning server for developers and ML engineers.

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

MCP server to provide Figma layout information to AI coding agents like Cursor

Use PEFT or Full-parameter to finetune 450+ LLMs (Qwen2.5, InternLM3, GLM4, Llama3.3, Mistral, Yi1.5, Baichuan2, DeepSeek-R1, ...) and 150+ MLLMs (Qwen2.5-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, ...).

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