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

Pair Claude Desktop on Anthropic with Claude Code routed through Ollama. Visual walkthrough + copy-paste prompt that cuts your Claude Code bill ~90%.

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

md2LLM enables fine-tuning of open-source language models using personal Markdown files. It includes an observability and management layer for the fine-tuning process, allowing users to generate training data, manage models, and track and store each state of the fine-tuned model.

An autonomous agentic pipeline that finds, proves, and patches real C memory-safety vulnerabilities end-to-end using a single 7B open-source LLM (Qwen2.5-Coder) on vLLM, with AddressSanitizer as a ground-truth oracle.

Read your local files and answer your queries

Every Great Contribution Starts With a Fork - Forky 🦎

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.

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

Community-maintained multilingual resource hub for DeepSeek V4 — recipes, benchmarks, deployment, and migration guides in 7 languages