AirLLM 70B inference with single 4GB GPU

Pre-trained image models using ONNX for fast, out-of-the-box inference.

This repository contains the code for PowerGrids, a Modelica library for electro-mechanical modelling of power systems.

"Open Source Models with Hugging Face" course empowers you with the skills to leverage open-source models from the Hugging Face Hub for various tasks in NLP, audio, image, and multimodal domains.

Fine-tune open-source models with Tinker from inside Pi — managed improve loops, data prep, evals, smoke tests, deploy snippets, and checkpoint chat.

Open-source Llm for Apple silicon devices.

The IVI-RA individual patient simulation model

The IVI-NSCLC simulation model

Explore Mistral AI's extensive collection of models. Learn to select, prompt, and integrate Mistral's open-source and commercial models for tasks like classification, coding, and Retrieval Augmented Generation (RAG).

Automate tasks with specialized AI Agents using CrewAI, Langchain and LLMs, a team of agents that can work together to complete tasks using AI prompting techniques from creating tasks to generating keynote speeches.

Resource-efficient LLM distillation: Improving sustainability and reducing computational costs of Large Language Models in financial analytics through knowledge distillation.

Architecting Information for an Open Source Citizenry.

End-to-end demo for deploying and scaling Hugging Face open-source models to production using Foundry Managed Compute in Azure AI Foundry. From Microsoft Build 2026.

Complete source code for SFT and async GRPO reinforcement learning recipes on Qwen3 models using Microsoft Foundry, Ray, and SLIME — with a multi-turn retail environment and Streamlit dashboard. From Microsoft Build 2026.

🚀 Optimize memory for large language models, enabling 70B models on a 4GB GPU and 405B Llama3.1 on 8GB VRAM without compression techniques.

A private, local-first desktop app for chatting with open-source AI models via Ollama — with branching conversations you explore as a visual graph. No cloud, no accounts. macOS · Windows · Linux.

🛠️ Manage and sync your coding skills across multiple AI tools with this cross-platform desktop app for streamlined organization and efficiency.

AI-powered document revision platform — iterative refinement with structured critique, not ghostwriting

Turn a frozen open-source model into a ~98%-verified, hands-free first-aid assistant — with inference-time compute and a deterministic verifier. Zero training.

ConvNeXt-CLF-75 is a food image classifier fine-tuned from ConvNeXt_tiny on a curated subset of 75 food categories from the MM-Food-100K dataset. The model is designed to serve as a semantic guide for a downstream segmentation network in a calorie‑estimation pipeline. The classifier outputs class predictions (multi-label).