Step-by-step AI tutorials that assume you want to run something today: installing local model runtimes, sizing hardware, serving APIs and fixing what breaks.
How to unblur a picture, enlarge a small image and restore old photos for free with Google Photos, Upscayl, Adobe Firefly, Adobe Express and Remini — and what AI enhancers cannot do.
GGUF is a single-file container format for quantized models, created for llama.cpp. One .gguf file holds the weights, the tokenizer,
What it is: Nano-vLLM is a lightweight, ~1,200-line Python reimplementation of the vLLM inference engine, published by DeepSeek engineer Xingkai
Linux + NVIDIA GPU: create a clean Python 3.12 environment, run pip install vllm (or uv pip install vllm), then
TL;DR:Download the official installer from ollama.com/download, run it, and Ollama installs as a background service Requires Windows 10+ and 8
Ollama doesn’t offer cloud-hosted models as an API service—it’s a local inference engine you run on your own hardware. You
TL;DROllama lets you run AI models like Llama, Mistral, and Gemma locally via a single command-line tool Install in seconds:
What it is: a User Access Token (a string starting hf_) that authenticates you to the Hugging Face Hub. Create
A Hugging Face paper page is at huggingface.co/papers/<arXiv-ID>. Swap arxiv.org/abs/ for huggingface.co/papers/ in any arXiv URL to jump straight to
TL;DR:Local LLM models run on your hardware without API calls. Popular options include Llama 3.1 (8B-405B), Mistral 7B, Phi-3, and
There is no “LM Studio Chicago” server, region, or edition. LM Studio is a desktop app for Windows, macOS and
There is no dedicated Ollama integration. You connect OpenClaw to Ollama through Ollama’s OpenAI-compatible API at http://localhost:11434/v1, treating it as
