Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A

LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.

LLM (Large Language Model) FineTuning

🏗️ Fine-tune, build, and deploy open-source LLMs easily!

LLMs and Machine Learning done easily

A list of LLMs Tools & Projects

This is a PHP library for Ollama. Ollama is an open-source project that serves as a powerful and user-friendly platform for running LLMs on your local machine. It acts as a bridge between the complexities of LLM technology and the desire for an accessible and customizable AI experience.

Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs

Samples on how to build industry solution leveraging generative AI capabilities on top of SAP BTP and integrated with SAP S/4HANA Cloud.

EmbeddedLLM: API server for Embedded Device Deployment. Currently support CUDA/OpenVINO/IpexLLM/DirectML/CPU

Fine-tune open-source Language Models (LLMs) on E-commerce data, leveraging Amazon's sales data. Showcase a tailored solution for enhanced language understanding and generation with a focus on custom E-commerce datasets.

Read your local files and answer your queries

Multi-agent workflows with Llama3: A private on-device multi-agent framework

LocalPrompt is an AI-powered tool designed to refine and optimize AI prompts, helping users run locally hosted AI models like Mistral-7B for privacy and efficiency. Ideal for developers seeking to run LLMs locally without external APIs.

In this project, we leverage Weaviate, a vector database, to power our retrieval-augmented generation (RAG) application. Weaviate enables efficient vector similarity search, which is crucial for building effective RAG systems. Additionally, we use local language model (LLM) and embedding models.

This project contains the code and documentation for an autonomous AI agent that classifies, enriches, and scores inbound business leads. It is built with a FastAPI backend, a LangGraph agent workflow powered by a local Ollama LLM, and a Streamlit frontend for demonstration.

A modular, symbolic-ready LLM framework addressing key dev pain points: local fine-tuning, full-language interoperability, and composable reasoning. Built for extensibility, performance, and seamless AI/UX integration across ecosystems.

*the-stix-intern* a minimalistic framework for the automized extraction of CTI from unstructured texts

LocalPrompt is an AI-powered tool designed to refine and optimize AI prompts, helping users run locally hosted AI models like Mistral-7B for privacy and efficiency. Ideal for developers seeking to run LLMs locally without external APIs.