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i migliori modelli di IA open source

Come installare Ollama

The developer favourite for local LLMs: one command downloads and runs Llama, Qwen, Gemma, DeepSeek and more, with a built-in API.
Modelli di testo (LLM)
Windows
Mac
Linux
Licenza: MIT

Cos’è Ollama?

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.
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Nessuna installazione: esegui i modelli IA nel cloud
BitVector Prism è il modo più semplice per iniziare: scegli un modello, scrivi un prompt e genera in una web app pulita, senza configurare nulla. BitVector è disponibile anche su Discord e sul web (SpyGlass).

Cosa ti serve

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.

Come ottenere e installare Ollama

  1. Download Ollama from ollama.com for Mac or Windows and run the installer, or on Linux run the install script from the site.
  2. 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.
  3. Browse the model library on ollama.com for Qwen, Gemma, Mistral, DeepSeek, Phi and vision models, each with the exact command to run it.
  4. 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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PirateDiffusion
Nessuna installazione: esegui i modelli IA nel cloud
PirateDiffusion è solo su Telegram ed è pensato per i professionisti: migliaia di modelli, LoRA e workflow tramite comandi in chat, con generazione illimitata a prezzo fisso.

Come usare Ollama

  1. Chat in the terminal or the app window; type /bye to exit a terminal chat.
  2. List downloaded models with ollama list, remove one with ollama rm name, and pull a new one with ollama pull name.
  3. Pick a size tag to match your hardware, for example qwen2.5:7b or qwen2.5:14b; smaller tags run on smaller machines.
  4. 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.
  5. Create a custom model with a Modelfile to set a system prompt and parameters, then ollama create myname -f Modelfile.
  6. Vision models (llava, llama3.2-vision, qwen2.5vl) accept images: drag a file into the chat or pass the path in the terminal.

Consigli e problemi comuni

  • 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.

Modelli che puoi eseguire in 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.
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Nessuna installazione: esegui i modelli IA nel cloud
Niente GPU, niente download, niente Python. Questi servizi eseguono gli stessi modelli open source sui propri server: inizi a generare da browser, Discord o Telegram in un minuto.

Link

Questi link portano ai siti dei rispettivi autori. ModelTrends.ai non è affiliato a loro e non ospita software.

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