LM Studio is a free desktop app for running large language models locally. It has a built-in search for models from Hugging Face in GGUF and MLX format, a chat interface with document attachment (RAG), and a local server that mimics the OpenAI API so other programs can use your local model. It runs fully offline once a model is downloaded.

LM Studio is the easiest way to try the text models listed in this catalog on your own machine, for people who want a polished interface and do not want to touch a terminal. Developers who prefer command line tools may like Ollama better.

Bez instalacji – uruchamiaj modele AI w chmurze

BitVector Prism to najprostszy sposób na start: wybierz model, wpisz prompt i generuj w przejrzystej aplikacji webowej, bez żadnej konfiguracji. BitVector jest też dostępny na Discordzie i w sieci (SpyGlass).

Wypróbuj BitVector

Czego potrzebujesz

Apple Silicon Mac with macOS 13.4 or later (16 GB RAM recommended), Windows 10 or 11 (x64 or ARM) or Linux with a processor supporting AVX2. An NVIDIA or AMD GPU speeds things up and allows larger models; 8 GB VRAM runs 7 to 8 billion parameter models comfortably. Models take 2 to 40 GB each.

Jak zdobyć i zainstalować LM Studio

Download LM Studio from lmstudio.ai for Mac, Windows or Linux and install it.
Open the app and go to Discover (the magnifying glass). Search for a model, for example Llama, Qwen or Gemma.
Pick a quantized version that fits your memory (Q4_K_M is the usual balance; LM Studio marks the ones that fit) and press Download.
Models download into the app's models folder; you can change the folder in My Models if you want them on another drive.

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Bez instalacji – uruchamiaj modele AI w chmurze

PirateDiffusion działa tylko na Telegramie i jest stworzony dla profesjonalistów: tysiące modeli, LoRA i workflowów sterowanych komendami czatu, z nielimitowanym generowaniem w stałej cenie.

Wypróbuj PirateDiffusion

Jak używać LM Studio

Open the Chat tab, click Select a model at the top and load the model you downloaded.
Type a message and press Enter. Responses stream in; use the sidebar to start new chats or switch models.
Set a system prompt and sampling settings (temperature, context length) in the right-hand panel to shape the behaviour.
Attach PDF or text files to a chat to ask questions about them (RAG), or paste images for vision-capable models.
Open the Developer tab and start the local server to use the model from other apps through an OpenAI-compatible API at http://localhost:1234.
Use My Models to see what is downloaded, delete models you no longer need and check their sizes.

Wskazówki i częste problemy

If a model loads but answers slowly, choose a smaller quantization or offload fewer layers to the GPU in the model settings.
Set the context length only as long as you need; longer contexts use much more memory.
MLX models are fastest on Apple Silicon; GGUF works everywhere.
Nothing leaves your computer during chat; the only network use is downloading models.

Modele, które uruchomisz w LM Studio

LM Studio runs the open text models listed under Text / LLM in this catalog whenever a GGUF or MLX version exists on Hugging Face, which is the case for nearly all of them.

Modele Text / LLM

Bez instalacji – uruchamiaj modele AI w chmurze

Bez GPU, bez pobierania, bez Pythona. Te usługi uruchamiają te same modele open source na własnych serwerach, więc możesz zacząć generować z przeglądarki, Discorda lub Telegrama w minutę.

Wypróbuj BitVector

Wypróbuj PirateDiffusion

Linki

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