Ollama is a free, open source tool that runs large language models locally with a single command, for example ollama run llama3. It manages model downloads, GPU acceleration and a local REST API that most AI applications can talk to. It started as a command line tool and now also ships a simple desktop app with a chat window on Mac and Windows, and it works with many third-party interfaces such as Open WebUI.

Ollama is for developers, tinkerers and anyone who wants a local model as a backend for other software. If you want a full featured chat interface out of the box, LM Studio is more comfortable, but Ollama is lighter and scripts well.

Sem instalação: rode modelos de IA na nuvem

BitVector Prism é a forma mais fácil de começar: escolha um modelo, digite um prompt e gere em um app web limpo, sem configurar nada. O BitVector também está disponível no Discord e na web (SpyGlass).

Experimentar o BitVector

O que você precisa

macOS 12 or later (Apple Silicon recommended), Windows 10 or 11, or Linux. 8 GB RAM for 7B models, 16 GB for 13B, 32 GB for 33B; an NVIDIA or AMD GPU makes generation much faster. Models take 2 to 40 GB each.

Como obter e instalar o Ollama

Download Ollama from ollama.com for Mac or Windows and run the installer, or on Linux run the install script from the site.
Open a terminal (or the Ollama app) and type ollama run llama3.2 (or another model name from the library page); the model downloads and a chat prompt appears.
Browse the model library on ollama.com for Qwen, Gemma, Mistral, DeepSeek, Phi and vision models, each with the exact command to run it.
Optional: install a web interface such as Open WebUI, which connects to Ollama and gives you a ChatGPT-style page in your browser.

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Sem instalação: rode modelos de IA na nuvem

O PirateDiffusion é exclusivo do Telegram e feito para profissionais: milhares de modelos, LoRAs e workflows por comandos de chat, com geração ilimitada a preço fixo.

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Como usar o Ollama

Chat in the terminal or the app window; type /bye to exit a terminal chat.
List downloaded models with ollama list, remove one with ollama rm name, and pull a new one with ollama pull name.
Pick a size tag to match your hardware, for example qwen2.5:7b or qwen2.5:14b; smaller tags run on smaller machines.
Use the API at http://localhost:11434 from your own scripts (it is OpenAI compatible), or point apps like Open WebUI, Continue or Zed at it.
Create a custom model with a Modelfile to set a system prompt and parameters, then ollama create myname -f Modelfile.
Vision models (llava, llama3.2-vision, qwen2.5vl) accept images: drag a file into the chat or pass the path in the terminal.

Dicas e problemas comuns

Set OLLAMA_MODELS to move the model folder to a bigger drive.
If the GPU is not used, check that your driver is current; ollama ps shows whether a model runs on GPU or CPU.
Keep the context window (num_ctx) modest unless you need long documents; it has the largest effect on memory.
Ollama can import GGUF files you download yourself through a Modelfile with a FROM line pointing at the file.

Modelos que você pode rodar no Ollama

Ollama runs the open text models under Text / LLM in this catalog that are published in its library or available as GGUF files, which covers Llama, Qwen, Gemma, Mistral, DeepSeek and most others.

Modelos Text / LLM

Sem instalação: rode modelos de IA na nuvem

Sem GPU, sem downloads, sem Python. Esses serviços rodam os mesmos modelos de código aberto em seus próprios servidores, então você começa a gerar pelo navegador, Discord ou Telegram em um minuto.

Experimentar o BitVector

Experimentar o PirateDiffusion

Links

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