The Web Metadata Extraction Toolkit is designed to streamline the process of extracting, cleaning, and analyzing metadata from websites. Utilizing advanced AI models and custom extraction strategies, this toolkit helps users efficiently gather data like titles, descriptions, and keywords, which are crucial for SEO and content strategy.

Automatically read Leetcode problems using Selenium, hand them over to different large models for processing, and automatically submit solutions while tracking accuracy rates.

Explore practical fine-tuning of LLMs with Hands-on Lora. Dive into examples that showcase efficient model adaptation across diverse tasks.

Welcome to our AI Battle! Ask a question and let our two AI models battle it out

A demo of expanding the vocabulary of the Llama3 model, applicable to other vocabularies that use TikToken as well.

Visual Instruction Tuning for Qwen2 Base Model

Use your open source local model from the terminal

Various training, inference and validation code and results related to Open LLM's that were pretrained (full or partially) on the Dutch language.

qwen2 and llama3 cpp implementation

🧘🏻‍♂️KarmaVLM (相生)：A family of high efficiency and powerful visual language model.

Official repository for "Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing"

🐋MindChat（漫谈）——心理大模型：漫谈人生路, 笑对风霜途

ms-swift: Use PEFT or Full-parameter to finetune 300+ LLMs or 50+ MLLMs. (Qwen2, GLM4, Internlm2.5, Yi, Llama3, Llava, MiniCPM-V, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)

Firefly: 大模型训练工具，支持训练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

《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合中国宝宝的部署教程