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).

Open Source LLM — llama 4, deepseek v3, qwen 2.5, open source ai.

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.

Read your local files and answer your queries

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

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.

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