Tutorials

To remove a model in Ollama, run ollama rm <model> (for example ollama rm llama3.1:8b). Use ollama list first to […]

ae.safetensors is the VAE (variational autoencoder) weight file shipped with Black Forest Labs’ FLUX.1 image models. It decodes FLUX’s latents

Hugging Face hosts image-to-video (I2V) models you can run three ways: hosted Spaces demos, the Inference API/Endpoints, or locally with

LM Studio is a free desktop application for discovering, downloading and running large language models locally on Windows, macOS and

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