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

GPU-accelerated LLaMA inference wrapper for legacy Vulkan-capable systems a Pythonic way to run AI with knowledge (Ilm) on fire (Vulkan).

Read your local files and answer your queries

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

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.

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.

SiliconSoap is a cool new way to watch AI agents talk to each other. We make open-source AIs and the newest, most advanced AIs battle it out in exciting, planned conversations. Get ready for AIs with strong personalities, powerful speeches, and quick comebacks. We also add AI-made pictures and sounds to make it even more fun to watch. It's like ...

This project implements a production-ready Conversational (RAG) chatbot using LangChain, Groq’s LLaMA 3 model, ChromaDB, and HuggingFace embeddings. It supports persistent chat history across sessions using RunnableWithMessageHistory, and integrates modular prompting, document loading, and retriever-aware chains to handle context-aware multi-chats.

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

Step-by-step tutorial on loading and using Llama 3.1 8B Instruct in Google Colab with Unsloth. Free, no GPU required. Covers prompting, temperature, max_new_tokens, and a practical spell-correction example.