1582 articles
Learn how to install Ollama and run large language models locally on your own hardware without internet access or API keys. This guide covers installation, model management, Python integration, LangChain setup, custom Modelfiles, and production considerations.
Complete guide to setting up and running Meta's LLaMA 3 models locally and in the cloud. Covers Hugging Face access, Ollama, quantization, chat formatting, fine-tuning with LoRA, and benchmarking for developers and ML engineers.
Master Mistral AI models: setup, usage, quantization, API integration, and fine-tuning. This guide covers every variant from Mistral 7B to Mistral Large, with practical Python code for developers and ML engineers building production LLM applications.
Deep dive into Mixtral 8x7B — the Mixture of Experts model that delivers 70B-class quality at 7B inference cost. This guide covers the MoE architecture, local setup, quantization, chat formatting, multi-GPU inference, and production deployment for ML engineers.
Master Microsoft's Phi-3 family of small language models — from the 3.8B Phi-3 Mini to the 14B Phi-3 Medium. This guide covers setup, quantization, chat formatting, edge deployment with ONNX Runtime, fine-tuning, and comparisons to help developers choose the right model.