RUNTIME / EASY
LM Studio
Discovering, downloading and testing models without a terminal
Первичный источникDifficultyEasySetup profile
Platforms4apple · nvidia · amd · intel
APIOpenAI-compatible local server:1234
01 / INSTALL & RUN
Installation depends on your OS. These commands are examples or templates: replace placeholders and verify quantization, file format, drivers and runtime support. Memory fit does not guarantee deployment.
- 1Install
Download the desktop app from lmstudio.ai - 2Start a model
Search <verified-model-build> in Discover → Load → Start Server - 3Connect your app
OpenAI-compatible local server · :1234. Keep the service bound to localhost unless you add authentication and network controls.
Внимание
The app minimum requirements are not a model-fit guarantee. Leave memory for the OS and context cache.
02 / COMPATIBLE MODELS
Показательные модели с открытыми весами
Alibaba Qwen
Qwen3.6 27B
27BQ4 / NVFP4 estimate
- Оценка памяти
- ~18.5 GB
- Контекст
- 262K native
Alibaba Qwen
Qwen3.8 27B
27BQ4 estimate
- Оценка памяти
- ~19.5 GB
- Контекст
- 262K native
Alibaba Qwen
Qwen3.6 35B-A3B
35B3B active · Q4 / NVFP4 MoE
- Оценка памяти
- ~25 GB
- Контекст
- 262K native
DeepSeek
DeepSeek V4 Flash
284B13B active · Official FP4 + FP8 mixed
- Оценка памяти
- ~176 GB
- Контекст
- 1M native
Google
Gemma 3 1B
1BINT4 / GGUF Q4
- Оценка памяти
- ~1.4 GB
- Контекст
- 32K
Meta
Llama 3.2 3B
3BGGUF Q4
- Оценка памяти
- ~2.8 GB
- Контекст
- 128K